A network is a set of nodes connected via edges,with possibly directions and weights on the edges.Sometimes,in a multi-layer network,the nodes can also be heterogeneous.In this perspective,based on previous studies,we...A network is a set of nodes connected via edges,with possibly directions and weights on the edges.Sometimes,in a multi-layer network,the nodes can also be heterogeneous.In this perspective,based on previous studies,we argue that networks can be regarded as the infrastructure of scientometrics in the sense that networks can be used to represent scientometric data.Then the task of answering various scientometric questions related to this data becomes an algorithmic problem in the corresponding network.展开更多
Purpose: The aim of this article is to explore up to seven parameters related to the methodological quality and reproducibility of thematic bibliometric research published in the two most productive journals in biblio...Purpose: The aim of this article is to explore up to seven parameters related to the methodological quality and reproducibility of thematic bibliometric research published in the two most productive journals in bibliometrics, Sustainability(a journal outside the discipline) and Scientometrics, the flagship journal in the field.Design/methodology/approach: The study identifies the need for developing tailored tools for improving the quality of thematic bibliometric analyses, and presents a framework that can guide the development of such tools. A total of 508 papers are analysed, 77% of Sustainability, and 23% published in Scientometrics, for the 2019-2021 period.Findings: An average of 2.6 shortcomings per paper was found for the whole sample, with an almost identical number of flaws in both journals. Sustainability has more flaws than Scientometrics in four of the seven parameters studied, while Scientometrics has more shortcomings in the remaining three variables.Research limitations: The first limitation of this work is that it is a study of two scientific journals, so the results cannot be directly extrapolated to the set of thematic bibliometric analyses published in journals from all fields.Practical implications: We propose the adoption of protocols, guidelines, and other similar tools, adapted to bibliometric practice, which could increase the thoroughness, transparency, and reproducibility of this type of research.Originality/value: These results show considerable room for improvement in terms of the adequate use and breakdown of methodological procedures in thematic bibliometric research, both in journals in the Information Science area and journals outside the discipline.展开更多
Call for PapersThe Organizing Committee would like to invite participants to submit to the 16th International Society of Scientometrics and Informetrics Conference that will be held in Wuhan, China （http：//www.issi2...Call for PapersThe Organizing Committee would like to invite participants to submit to the 16th International Society of Scientometrics and Informetrics Conference that will be held in Wuhan, China （http：//www.issi2017.org）. The ISSI 2017 Conference will provide an international forum for scientists, research managers and administrators, as well as information and communication related professionals to share research and debate the advancements of informetric and scientometric theory and applica- tions. The conference is organized under the auspices of ISSI - the International Society for Informetrics and Scientometrics （http：//www.issi-society.org/）. Paper submission： https：//easychair.org/conferences/？conf=issi2017.展开更多
On June 23-25,2023,The 14th National Conference of Chinese Society for Scientometrics and Informetrics(CSSI)was successfully held in Taiyuan,Shanxi Province.The meeting was hosted by Chinese Society for Scientometrics...On June 23-25,2023,The 14th National Conference of Chinese Society for Scientometrics and Informetrics(CSSI)was successfully held in Taiyuan,Shanxi Province.The meeting was hosted by Chinese Society for Scientometrics and Informetrics(CSSI)、Chinese Academy of Science and Education Evaluation(CASEE)and Academy of Data Science and Informetrics(ADSI)of Hangzhou Dianzi University、Research Center for Chinese Science Evaluation(RCCSE)of Wuhan University and co-organized by School of Management of Shanxi Medical University.More than 1000 participants virtually and over 250 participants physically attended the conference.展开更多
On September 23-25,2022,The 13th National Conference of Chinese Society for Scientometrics and Informetrics(CSSI)was successfully held in Zhen Zhou,Henan Province.The meeting was hosted by Chinese Society for Scientom...On September 23-25,2022,The 13th National Conference of Chinese Society for Scientometrics and Informetrics(CSSI)was successfully held in Zhen Zhou,Henan Province.The meeting was hosted by Chinese Society for Scientometrics and Informetrics(CSSI)、Chinese Academy of Science and Education Evaluation(CASEE)and Academy of Data Science and Informetrics(ADSI)of Hangzhou Dianzi University、Research Center for Chinese Science Evaluation(RCCSE)of Wuhan University and co-organized by School of Information Management of Zhengzhou University and Zhengzhou Data Science Research Center.展开更多
Purpose:Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises,appointments and promotion.It is therefore important to investigate whether ...Purpose:Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises,appointments and promotion.It is therefore important to investigate whether Large Language Models(LLMs)can play a role in this process.Design/methodology/approach:This article assesses which ChatGPT inputs(full text without tables,figures,and references;title and abstract;title only)produce better quality score estimates,and the extent to which scores are affected by ChatGPT models and system prompts.Findings:The optimal input is the article title and abstract,with average ChatGPT scores based on these(30 iterations on a dataset of 51 papers)correlating at 0.67 with human scores,the highest ever reported.ChatGPT 4o is slightly better than 3.5-turbo(0.66),and 4o-mini(0.66).Research limitations:The data is a convenience sample of the work of a single author,it only includes one field,and the scores are self-evaluations.Practical implications:The results suggest that article full texts might confuse LLM research quality evaluations,even though complex system instructions for the task are more effective than simple ones.Thus,whilst abstracts contain insufficient information for a thorough assessment of rigour,they may contain strong pointers about originality and significance.Finally,linear regression can be used to convert the model scores into the human scale scores,which is 31%more accurate than guessing.Originality/value:This is the first systematic comparison of the impact of different prompts,parameters and inputs for ChatGPT research quality evaluations.展开更多
Pharmacy is an important subfield of the medical sciences,and its development is inseparable from pharmacy education.Pharmacy education outputs indispensable professionals and expertise for the healthcare industry,pro...Pharmacy is an important subfield of the medical sciences,and its development is inseparable from pharmacy education.Pharmacy education outputs indispensable professionals and expertise for the healthcare industry,promotes the development of pharmacy skills,and supports the development of the pharmaceutical and health sectors.To this end,many insightful studies have been carried out to promote the development and progress of pharmacy education.These studies have been published in high-quality pharmacy education journals indexed in the Web of Science Core Collection(WoSCC),and the two journals with the largest number of published articles are the American Journal of Pharmaceutical Education and Currents in Pharmacy Teaching and Learning.The 200 most-cited papers historically in these two journals have a significant impact on the research paradigm and future directions in the field of pharmacy education.Therefore,this paper summarizes the knowledge domains of these 200 papers and uses the scientometric method to study their basic information,authorship distribution,citation performance,publishing paradigm and hotspot mining.The era of Holistic Integrative Pharmacy(HIP),in which the focus has shifted from isolated pharmacological interventions to more collaborative,patient-centered,and interdisciplinary approaches,underscores the importance of evolving educational methodologies.In this context,understanding the scientometric trends in pharmacy education becomes even more crucial.This study aims to explore the current development status of pharmacy education,develop more innovative and effective educational models,and promote the widespread application of HIP in pharmacy education.The goal is to enhance the overall quality of pharmacy education and provide guidance and insights for the future development of pharmacy education.展开更多
Avocados,including the peels and seeds,have beneficial nutritional value and can be processed into oils.To understand the trends and promote the use of avocado waste,it is essential to ascertain the scientific contrib...Avocados,including the peels and seeds,have beneficial nutritional value and can be processed into oils.To understand the trends and promote the use of avocado waste,it is essential to ascertain the scientific contributions,productivity,quality,and gaps in the avocado oil research field.This research identifies the changes in the research trend over the last ten years compared to previous studies.Additionally,this study examines and summarizes the research question,significant study findings,and future directions for avocado oil research through an overview format.Results show that the market for avocado oil has been growing,received greater attention,and been extensively studied in the last 10 years as opposed to the preceding century.There is more collaborative research on this topic globally from 2014 to 2023 than from 1928 to 2013.The direction of avocado oil research has not changed significantly;rather,it has expanded from the foundational studies and become more focused.Surprisingly,recent advancements indicate a notable increase in the research topic of avocado oil adulteration,implying that such practices have become more prevalent in the last decade compared to earlier periods.Though research hotspots noted that avocado oil is still being tested on animals,such as rats,the use of avocado oil for cosmetic purposes was not emphasized till 1928–2013.Other persisting hotspots include avocado being tried for antioxidant or oxidative stress prevention,insulin resistance prevention,extraction,compositional analysis,and avocado oils being compared alongside other oils.展开更多
Grassland degradation presents overwhelming challenges to biodiversity,ecosystem services,and the socioeconomic sustainability of dependent communities.However,a comprehensive synthesis of global knowledge on the fron...Grassland degradation presents overwhelming challenges to biodiversity,ecosystem services,and the socioeconomic sustainability of dependent communities.However,a comprehensive synthesis of global knowledge on the frontiers and key areas of grassland degradation research has not been achieved due to the limitations of traditional scientometrics methods.The present synthesis of information employed BERTopic,an advanced natural language processing tool,to analyze the extensive ecological literature on grassland degradation.We compiled a dataset of 4,504 publications from the Web of Science core collection database and used it to evaluate the geographic distribution and temporal evolution of different grassland types and available knowledge on the subject.Our analysis identified key topics in the global grassland degradation research domain,including the effects of grassland degradation on ecosystem functions,grassland ecological restoration and biodiversity conservation,erosion processes and hydrological models in grasslands,and others.The BERTopic analysis significantly outperforms traditional methods in identifying complex and evolving topics in large datasets of literature.Compared to traditional scientometrics analysis,BERTopic provides a more comprehensive perspective on the research areas,revealing not only popular topics but also emerging research areas that traditional methods may overlook,although scientometrics offers more specificity and detail.Therefore,we argue for the simultaneous use of both approaches to achieve more systematic and comprehensive assessments of specific research areas.This study represents an emerging application of BERTopic algorithms in ecological research,particularly in the critical research focused on global grassland degradation.It also highlights the need for integrating advanced computational methods in ecological research in this era of data explosion.Tools like the BERTopic algorithm are essential for enhancing our understanding of complex environmental problems,and it marks an important stride towards more sophisticated,data-driven analysis in ecology.展开更多
Recent studies have focused on wetlands due to their benefits for human spiritual satisfaction and mental health.This paper conducted a scientometric analysis of 2,388 studies published in the Web of Science database ...Recent studies have focused on wetlands due to their benefits for human spiritual satisfaction and mental health.This paper conducted a scientometric analysis of 2,388 studies published in the Web of Science database between 2002 and 2022.Using VOSviewer,Origin,and CiteSpace software,this study identified research hotspots and emerging trends in wetland research.The analysis revealed an upward trend in global wetland research publications,with notable contributions from researchers in the United States,China,Australia,Canada,and India.Network keyword co-occurrence analysis highlighted primary research themes,including constructed wetlands,climate change,wastewater treatment,phytoremediation,restoration,and hydrology.The United States emerged as the central hotspot for wetland research,with China,Canada,Australia,and other countries following.Given the growing recognition of wetlands’importance,wetland research is expected to gain even more global attention.Moreover,improvements in the quality of wetland tourism research are recommended,as most related publications have low citation rates.This paper provides a methodological overview of scientometric techniques applicable to global wetland research,offering scholars a framework for using scientometric analysis to enhance their future research.The increasing recognition of wetlands’crucial role in human well-being,encompassing both spiritual satisfaction and mental health,has led to a surge in research interest in this field.This study presents a comprehensive scientometric analysis of 2,388 wetland-related publications indexed in the Web of Science database between 2002 and 2022.Employing VOSviewer,Origin,and CiteSpace software,we mapped research hotspots and identified emerging trends within global wetland research.Our analysis reveals a significant upward trend in the volume of publications,highlighting the growing international attention to wetland ecosystems.The United States,China,Australia,Canada,and India have emerged as leading contributors to this research landscape.A network keyword co-occurrence analysis identified core research themes such as constructed wetlands,climate change,wastewater treatment,phytoremediation,ecological restoration,and hydrology.The United States is a central hub for wetland research,with China,Canada,and Australia also demonstrating substantial research activity.Given the escalating importance of wetlands in addressing global challenges,this research area is expected to attract further scholarly attention.We recommend a greater emphasis on enhancing the quality and impact of wetland tourism research,which currently exhibits low citation rates.Furthermore,this paper provides a methodological framework,demonstrating the application of scientometric techniques in global wetland research,thus empowering scholars to utilise such analytical approaches to refine their research.Our study offers a valuable and comprehensive overview of the key research areas,emerging topics,and influential contributors within the field of global wetland research.展开更多
Purpose:Citation-based assessments of countries’research capabilities often misrepresent their ability to achieve breakthrough advancements.These assessments commonly classify Japan as a developing country,which cont...Purpose:Citation-based assessments of countries’research capabilities often misrepresent their ability to achieve breakthrough advancements.These assessments commonly classify Japan as a developing country,which contradicts its prominent scientific standing.The purpose of this study is to investigate the underlying causes of such inaccurate assessments and to propose methods for conducting more reliable evaluations.Design/methodology/approach:The study evaluates the effectiveness of top-percentile citation metrics as indicators of breakthrough research.Using case studies of selected countries and research topics,the study examines how deviations from lognormal citation distributions impact the accuracy of these percentile indicators.A similar analysis is conducted using university data from the Leiden Ranking to investigate citation distribution deviations at the institutional level.Findings:The study finds that inflated lower tails in citation distributions lead to undervaluation of research capabilities in advanced technological countries,as captured by some percentile indicators.Conversely,research-intensive universities exhibit the opposite trend:a reduced lower tail relative to the upper tail,which causes percentile indicators to overestimate their actual research capacity.Research limitations:The descriptions are mathematical facts that are self-evident.Practical implications:The ratios between the number of papers in the global top 10%and 1%by citation count to the total number of papers are commonly used to describe research performance.However,due to variations in citation patterns across countries and institutions with reference to the global pattern,these ratios can be misleading and lose their value as research indicators.Originality/value:Size-independent research performance indicators,obtained as the ratios between paper counts in top percentiles and the total numbers of publications,are widely used by public and private institutions.This study demonstrates that the use of these ratios for research evaluations and country rankings can be highly misleading.展开更多
Recently,the most-cited papers of the twenty-first century across all fields were announced(Pearson et al.,2025).Consequently,JDIS was curious about the most-cited papers in the fields of bibliometrics,scientometrics,...Recently,the most-cited papers of the twenty-first century across all fields were announced(Pearson et al.,2025).Consequently,JDIS was curious about the most-cited papers in the fields of bibliometrics,scientometrics,and the science of science and the trends reflected by these works.In April 2025,JDIS selected the Web of Science(WoS),Scopus,and OpenAlex as the data sources,adopting a paper-level classification to identify bibliometrics-related papers(see Appendix for the details).Table 1 shows the top 10 most-cited bibliometrics-related papers(see Appendix for the Top 25).展开更多
With the enhancement of environmental protection awareness of the international community and the continuous promotion of green and sustainable development of manufacturing industry,water lubrication instead of minera...With the enhancement of environmental protection awareness of the international community and the continuous promotion of green and sustainable development of manufacturing industry,water lubrication instead of mineral oil has become the future development trend due to its green,pollution-free,clean,safe,and sustainable advantages especially in ships,marine,coal mining,and other fields.In recent years,with the rapid development of water lubrication research,significant progress has been made in related research knowledge domain and discipline.A systematic and extensive assessment of water lubrication research has become increasingly important.The objective of this research is to reveal the research status,research hotspots,and development trends in the field of water lubrication.Therefore,CiteSpace was used to conduct a systematic bibliometric and scientometrical analysis of 1,792 publications from Web of Science core collection database(1997–2021).The results show that China and USA are the most productive countries in the field of water lubrication and have made outstanding contributions.Through the analysis of hot key words and co-citation references,this paper reviews the research status of water lubrication in three aspects:(1)lubricating medium modification;(2)material preparation;(3)surface optimization.It has become a research hotspot to promote the superlubricity contact interface and the application of nanotechnology.The results of this study can make a significant contribution to the development of water lubrication by providing a comprehensive understanding of the research status and research hotspots in this field.Personal understanding and discussion of research hotspots and research status are expected to provide insights into future research trends.In addition,this study will provide valuable references and guidelines for researchers who are interested in this field.展开更多
The digital revolution in agriculture has introduced data-driven decision-making,where artificial intelligence,especially machine learning(ML),helps analyze large and varied data sources to improve soil quality and cr...The digital revolution in agriculture has introduced data-driven decision-making,where artificial intelligence,especially machine learning(ML),helps analyze large and varied data sources to improve soil quality and crop growth indices.Thus,a thorough evaluation of scientific publications from 2007 to 2024 was conducted via the Scopus and Web of Science databases with the PRISMA guidelines to determine the realistic role of ML in soil health and crop improvement under the SDGs.In addition,the present review focused to identify and analyze the trends,challenges,and opportunities associated with the successful implementation of ML in agriculture.The assessment of various databases clearly revealed that ML implementation depends on crop management,while its limited potential in terms of soil health was explored.ML models,such as random forest and XGBoost,have demonstrated high accuracies of up to 99%in crop yield prediction and disease detection.Advanced ML frameworks,including the SHIDS-ADLT and EfficientNetB3,have improved soil health monitoring and plant disease classification.Irrigation management using ML has achieved over 50%water savings and irrigation efficiency by 10%-35%.These findings highlight the potential of ML to improve sustainable agricultural practices and soil health.A significant improvement discussed in this review is AutoML,which simplifies ML model implementation by automating feature selection,model selection,and hyperparameter tuning,reducing dependency on ML expertise.The integration of ML with remote sensing,Internet of Things(IoT),and big data analytics is expected to further transform the precision agriculture and real-time decisionmaking approaches to optimize resource utilization.Conclusively,the present review offers a quantitative perspective on the evolution of ML in agriculture,soil health management,crop yield prediction,and resource optimization.展开更多
With the increasing exploration of oil and gas into deep waters,the necessity for material development increases for lighter conduits such as composite marine risers,in the oil and gas industry.To understand the resea...With the increasing exploration of oil and gas into deep waters,the necessity for material development increases for lighter conduits such as composite marine risers,in the oil and gas industry.To understand the research knowledge on this novel area,there is a need to have a bibliometric analysis on composite marine risers.A research methodology was developed whereby the data retrieval was from SCOPUS database from 1977–2023.Then,VOSviewer was used to visualize the knowledge maps.This study focuses on the progress made by conducting knowledge mapping and scientometric review on composite marine risers.This scientometric analysis on the subject shows current advances,geographical activities by countries,authorship records,collaborations,funders,affiiliations,co‑occurrences,and future research areas.It was observed that the research trends recorded the highest publication volume in the U.S.A.,but less cluster affiiliated,as it was followed by countries like the U.K.,China,Nigeria,Australia and Singapore.Also,thisfiield has more conference papers than journal papers due to the challenge of adaptability,acceptance,qualifiication,and application of composite marine risers in the marine industry.Hence,there is a need for more collaborations on composite marine risers and more funding to enhance the research trend.展开更多
文摘A network is a set of nodes connected via edges,with possibly directions and weights on the edges.Sometimes,in a multi-layer network,the nodes can also be heterogeneous.In this perspective,based on previous studies,we argue that networks can be regarded as the infrastructure of scientometrics in the sense that networks can be used to represent scientometric data.Then the task of answering various scientometric questions related to this data becomes an algorithmic problem in the corresponding network.
文摘Purpose: The aim of this article is to explore up to seven parameters related to the methodological quality and reproducibility of thematic bibliometric research published in the two most productive journals in bibliometrics, Sustainability(a journal outside the discipline) and Scientometrics, the flagship journal in the field.Design/methodology/approach: The study identifies the need for developing tailored tools for improving the quality of thematic bibliometric analyses, and presents a framework that can guide the development of such tools. A total of 508 papers are analysed, 77% of Sustainability, and 23% published in Scientometrics, for the 2019-2021 period.Findings: An average of 2.6 shortcomings per paper was found for the whole sample, with an almost identical number of flaws in both journals. Sustainability has more flaws than Scientometrics in four of the seven parameters studied, while Scientometrics has more shortcomings in the remaining three variables.Research limitations: The first limitation of this work is that it is a study of two scientific journals, so the results cannot be directly extrapolated to the set of thematic bibliometric analyses published in journals from all fields.Practical implications: We propose the adoption of protocols, guidelines, and other similar tools, adapted to bibliometric practice, which could increase the thoroughness, transparency, and reproducibility of this type of research.Originality/value: These results show considerable room for improvement in terms of the adequate use and breakdown of methodological procedures in thematic bibliometric research, both in journals in the Information Science area and journals outside the discipline.
文摘Call for PapersThe Organizing Committee would like to invite participants to submit to the 16th International Society of Scientometrics and Informetrics Conference that will be held in Wuhan, China （http：//www.issi2017.org）. The ISSI 2017 Conference will provide an international forum for scientists, research managers and administrators, as well as information and communication related professionals to share research and debate the advancements of informetric and scientometric theory and applica- tions. The conference is organized under the auspices of ISSI - the International Society for Informetrics and Scientometrics （http：//www.issi-society.org/）. Paper submission： https：//easychair.org/conferences/？conf=issi2017.
文摘On June 23-25,2023,The 14th National Conference of Chinese Society for Scientometrics and Informetrics(CSSI)was successfully held in Taiyuan,Shanxi Province.The meeting was hosted by Chinese Society for Scientometrics and Informetrics(CSSI)、Chinese Academy of Science and Education Evaluation(CASEE)and Academy of Data Science and Informetrics(ADSI)of Hangzhou Dianzi University、Research Center for Chinese Science Evaluation(RCCSE)of Wuhan University and co-organized by School of Management of Shanxi Medical University.More than 1000 participants virtually and over 250 participants physically attended the conference.
文摘On September 23-25,2022,The 13th National Conference of Chinese Society for Scientometrics and Informetrics(CSSI)was successfully held in Zhen Zhou,Henan Province.The meeting was hosted by Chinese Society for Scientometrics and Informetrics(CSSI)、Chinese Academy of Science and Education Evaluation(CASEE)and Academy of Data Science and Informetrics(ADSI)of Hangzhou Dianzi University、Research Center for Chinese Science Evaluation(RCCSE)of Wuhan University and co-organized by School of Information Management of Zhengzhou University and Zhengzhou Data Science Research Center.
文摘Purpose:Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises,appointments and promotion.It is therefore important to investigate whether Large Language Models(LLMs)can play a role in this process.Design/methodology/approach:This article assesses which ChatGPT inputs(full text without tables,figures,and references;title and abstract;title only)produce better quality score estimates,and the extent to which scores are affected by ChatGPT models and system prompts.Findings:The optimal input is the article title and abstract,with average ChatGPT scores based on these(30 iterations on a dataset of 51 papers)correlating at 0.67 with human scores,the highest ever reported.ChatGPT 4o is slightly better than 3.5-turbo(0.66),and 4o-mini(0.66).Research limitations:The data is a convenience sample of the work of a single author,it only includes one field,and the scores are self-evaluations.Practical implications:The results suggest that article full texts might confuse LLM research quality evaluations,even though complex system instructions for the task are more effective than simple ones.Thus,whilst abstracts contain insufficient information for a thorough assessment of rigour,they may contain strong pointers about originality and significance.Finally,linear regression can be used to convert the model scores into the human scale scores,which is 31%more accurate than guessing.Originality/value:This is the first systematic comparison of the impact of different prompts,parameters and inputs for ChatGPT research quality evaluations.
基金National Natural Science Foundation of China(grant No.82373800)Guangzhou Science and Technology Plan Project(grant No.202201010589).
文摘Pharmacy is an important subfield of the medical sciences,and its development is inseparable from pharmacy education.Pharmacy education outputs indispensable professionals and expertise for the healthcare industry,promotes the development of pharmacy skills,and supports the development of the pharmaceutical and health sectors.To this end,many insightful studies have been carried out to promote the development and progress of pharmacy education.These studies have been published in high-quality pharmacy education journals indexed in the Web of Science Core Collection(WoSCC),and the two journals with the largest number of published articles are the American Journal of Pharmaceutical Education and Currents in Pharmacy Teaching and Learning.The 200 most-cited papers historically in these two journals have a significant impact on the research paradigm and future directions in the field of pharmacy education.Therefore,this paper summarizes the knowledge domains of these 200 papers and uses the scientometric method to study their basic information,authorship distribution,citation performance,publishing paradigm and hotspot mining.The era of Holistic Integrative Pharmacy(HIP),in which the focus has shifted from isolated pharmacological interventions to more collaborative,patient-centered,and interdisciplinary approaches,underscores the importance of evolving educational methodologies.In this context,understanding the scientometric trends in pharmacy education becomes even more crucial.This study aims to explore the current development status of pharmacy education,develop more innovative and effective educational models,and promote the widespread application of HIP in pharmacy education.The goal is to enhance the overall quality of pharmacy education and provide guidance and insights for the future development of pharmacy education.
基金the Indonesian Ministry of Education,Culture,Research,and Technology(Kemendikbudristek)for the funding of this manuscript making through the PMDSU(Pendidikan Magister menuju Doktor untuk Sarjana Unggul)program based on decree number 0459/E5/PG.02.00/2024 and agreements/contracts number 048/E5/PG.02.00.PL/2024 and 2789/UN1/DITLIT/PT.
文摘Avocados,including the peels and seeds,have beneficial nutritional value and can be processed into oils.To understand the trends and promote the use of avocado waste,it is essential to ascertain the scientific contributions,productivity,quality,and gaps in the avocado oil research field.This research identifies the changes in the research trend over the last ten years compared to previous studies.Additionally,this study examines and summarizes the research question,significant study findings,and future directions for avocado oil research through an overview format.Results show that the market for avocado oil has been growing,received greater attention,and been extensively studied in the last 10 years as opposed to the preceding century.There is more collaborative research on this topic globally from 2014 to 2023 than from 1928 to 2013.The direction of avocado oil research has not changed significantly;rather,it has expanded from the foundational studies and become more focused.Surprisingly,recent advancements indicate a notable increase in the research topic of avocado oil adulteration,implying that such practices have become more prevalent in the last decade compared to earlier periods.Though research hotspots noted that avocado oil is still being tested on animals,such as rats,the use of avocado oil for cosmetic purposes was not emphasized till 1928–2013.Other persisting hotspots include avocado being tried for antioxidant or oxidative stress prevention,insulin resistance prevention,extraction,compositional analysis,and avocado oils being compared alongside other oils.
基金financially supported by the First-Class Curriculum Program at the School of Economics and Management,University of the Chinese Academy of Sciencesthe National Natural Science Foundation of China(42041005)the National Social Science Foundation of China(23BTQ054)。
文摘Grassland degradation presents overwhelming challenges to biodiversity,ecosystem services,and the socioeconomic sustainability of dependent communities.However,a comprehensive synthesis of global knowledge on the frontiers and key areas of grassland degradation research has not been achieved due to the limitations of traditional scientometrics methods.The present synthesis of information employed BERTopic,an advanced natural language processing tool,to analyze the extensive ecological literature on grassland degradation.We compiled a dataset of 4,504 publications from the Web of Science core collection database and used it to evaluate the geographic distribution and temporal evolution of different grassland types and available knowledge on the subject.Our analysis identified key topics in the global grassland degradation research domain,including the effects of grassland degradation on ecosystem functions,grassland ecological restoration and biodiversity conservation,erosion processes and hydrological models in grasslands,and others.The BERTopic analysis significantly outperforms traditional methods in identifying complex and evolving topics in large datasets of literature.Compared to traditional scientometrics analysis,BERTopic provides a more comprehensive perspective on the research areas,revealing not only popular topics but also emerging research areas that traditional methods may overlook,although scientometrics offers more specificity and detail.Therefore,we argue for the simultaneous use of both approaches to achieve more systematic and comprehensive assessments of specific research areas.This study represents an emerging application of BERTopic algorithms in ecological research,particularly in the critical research focused on global grassland degradation.It also highlights the need for integrating advanced computational methods in ecological research in this era of data explosion.Tools like the BERTopic algorithm are essential for enhancing our understanding of complex environmental problems,and it marks an important stride towards more sophisticated,data-driven analysis in ecology.
文摘Recent studies have focused on wetlands due to their benefits for human spiritual satisfaction and mental health.This paper conducted a scientometric analysis of 2,388 studies published in the Web of Science database between 2002 and 2022.Using VOSviewer,Origin,and CiteSpace software,this study identified research hotspots and emerging trends in wetland research.The analysis revealed an upward trend in global wetland research publications,with notable contributions from researchers in the United States,China,Australia,Canada,and India.Network keyword co-occurrence analysis highlighted primary research themes,including constructed wetlands,climate change,wastewater treatment,phytoremediation,restoration,and hydrology.The United States emerged as the central hotspot for wetland research,with China,Canada,Australia,and other countries following.Given the growing recognition of wetlands’importance,wetland research is expected to gain even more global attention.Moreover,improvements in the quality of wetland tourism research are recommended,as most related publications have low citation rates.This paper provides a methodological overview of scientometric techniques applicable to global wetland research,offering scholars a framework for using scientometric analysis to enhance their future research.The increasing recognition of wetlands’crucial role in human well-being,encompassing both spiritual satisfaction and mental health,has led to a surge in research interest in this field.This study presents a comprehensive scientometric analysis of 2,388 wetland-related publications indexed in the Web of Science database between 2002 and 2022.Employing VOSviewer,Origin,and CiteSpace software,we mapped research hotspots and identified emerging trends within global wetland research.Our analysis reveals a significant upward trend in the volume of publications,highlighting the growing international attention to wetland ecosystems.The United States,China,Australia,Canada,and India have emerged as leading contributors to this research landscape.A network keyword co-occurrence analysis identified core research themes such as constructed wetlands,climate change,wastewater treatment,phytoremediation,ecological restoration,and hydrology.The United States is a central hub for wetland research,with China,Canada,and Australia also demonstrating substantial research activity.Given the escalating importance of wetlands in addressing global challenges,this research area is expected to attract further scholarly attention.We recommend a greater emphasis on enhancing the quality and impact of wetland tourism research,which currently exhibits low citation rates.Furthermore,this paper provides a methodological framework,demonstrating the application of scientometric techniques in global wetland research,thus empowering scholars to utilise such analytical approaches to refine their research.Our study offers a valuable and comprehensive overview of the key research areas,emerging topics,and influential contributors within the field of global wetland research.
文摘Purpose:Citation-based assessments of countries’research capabilities often misrepresent their ability to achieve breakthrough advancements.These assessments commonly classify Japan as a developing country,which contradicts its prominent scientific standing.The purpose of this study is to investigate the underlying causes of such inaccurate assessments and to propose methods for conducting more reliable evaluations.Design/methodology/approach:The study evaluates the effectiveness of top-percentile citation metrics as indicators of breakthrough research.Using case studies of selected countries and research topics,the study examines how deviations from lognormal citation distributions impact the accuracy of these percentile indicators.A similar analysis is conducted using university data from the Leiden Ranking to investigate citation distribution deviations at the institutional level.Findings:The study finds that inflated lower tails in citation distributions lead to undervaluation of research capabilities in advanced technological countries,as captured by some percentile indicators.Conversely,research-intensive universities exhibit the opposite trend:a reduced lower tail relative to the upper tail,which causes percentile indicators to overestimate their actual research capacity.Research limitations:The descriptions are mathematical facts that are self-evident.Practical implications:The ratios between the number of papers in the global top 10%and 1%by citation count to the total number of papers are commonly used to describe research performance.However,due to variations in citation patterns across countries and institutions with reference to the global pattern,these ratios can be misleading and lose their value as research indicators.Originality/value:Size-independent research performance indicators,obtained as the ratios between paper counts in top percentiles and the total numbers of publications,are widely used by public and private institutions.This study demonstrates that the use of these ratios for research evaluations and country rankings can be highly misleading.
文摘Recently,the most-cited papers of the twenty-first century across all fields were announced(Pearson et al.,2025).Consequently,JDIS was curious about the most-cited papers in the fields of bibliometrics,scientometrics,and the science of science and the trends reflected by these works.In April 2025,JDIS selected the Web of Science(WoS),Scopus,and OpenAlex as the data sources,adopting a paper-level classification to identify bibliometrics-related papers(see Appendix for the details).Table 1 shows the top 10 most-cited bibliometrics-related papers(see Appendix for the Top 25).
基金supported by the National Natural Science Foundation of China(52075192,52122502,and 52235001)China Coal Science and Technology Innovation and Entrepreneurship Fund(2019-TD-2-CXY005)A-class pilot of the Chinese Academy of Sciences(XDA22010303).
文摘With the enhancement of environmental protection awareness of the international community and the continuous promotion of green and sustainable development of manufacturing industry,water lubrication instead of mineral oil has become the future development trend due to its green,pollution-free,clean,safe,and sustainable advantages especially in ships,marine,coal mining,and other fields.In recent years,with the rapid development of water lubrication research,significant progress has been made in related research knowledge domain and discipline.A systematic and extensive assessment of water lubrication research has become increasingly important.The objective of this research is to reveal the research status,research hotspots,and development trends in the field of water lubrication.Therefore,CiteSpace was used to conduct a systematic bibliometric and scientometrical analysis of 1,792 publications from Web of Science core collection database(1997–2021).The results show that China and USA are the most productive countries in the field of water lubrication and have made outstanding contributions.Through the analysis of hot key words and co-citation references,this paper reviews the research status of water lubrication in three aspects:(1)lubricating medium modification;(2)material preparation;(3)surface optimization.It has become a research hotspot to promote the superlubricity contact interface and the application of nanotechnology.The results of this study can make a significant contribution to the development of water lubrication by providing a comprehensive understanding of the research status and research hotspots in this field.Personal understanding and discussion of research hotspots and research status are expected to provide insights into future research trends.In addition,this study will provide valuable references and guidelines for researchers who are interested in this field.
基金supported by the Ministry of Science and Higher Education of the Russian Federation(no.FENW-2023-0008)the Strategic Academic Leadership Program of Southern Federal University,known as“Priority 2030”.
文摘The digital revolution in agriculture has introduced data-driven decision-making,where artificial intelligence,especially machine learning(ML),helps analyze large and varied data sources to improve soil quality and crop growth indices.Thus,a thorough evaluation of scientific publications from 2007 to 2024 was conducted via the Scopus and Web of Science databases with the PRISMA guidelines to determine the realistic role of ML in soil health and crop improvement under the SDGs.In addition,the present review focused to identify and analyze the trends,challenges,and opportunities associated with the successful implementation of ML in agriculture.The assessment of various databases clearly revealed that ML implementation depends on crop management,while its limited potential in terms of soil health was explored.ML models,such as random forest and XGBoost,have demonstrated high accuracies of up to 99%in crop yield prediction and disease detection.Advanced ML frameworks,including the SHIDS-ADLT and EfficientNetB3,have improved soil health monitoring and plant disease classification.Irrigation management using ML has achieved over 50%water savings and irrigation efficiency by 10%-35%.These findings highlight the potential of ML to improve sustainable agricultural practices and soil health.A significant improvement discussed in this review is AutoML,which simplifies ML model implementation by automating feature selection,model selection,and hyperparameter tuning,reducing dependency on ML expertise.The integration of ML with remote sensing,Internet of Things(IoT),and big data analytics is expected to further transform the precision agriculture and real-time decisionmaking approaches to optimize resource utilization.Conclusively,the present review offers a quantitative perspective on the evolution of ML in agriculture,soil health management,crop yield prediction,and resource optimization.
基金support of the School of Engineering,Lancaster University,UK,for the Engineering Department Studentship as well as the Engineering and Physical Sciences Research Council(EPSRC)’s Doctoral Training Centre(DTC)。
文摘With the increasing exploration of oil and gas into deep waters,the necessity for material development increases for lighter conduits such as composite marine risers,in the oil and gas industry.To understand the research knowledge on this novel area,there is a need to have a bibliometric analysis on composite marine risers.A research methodology was developed whereby the data retrieval was from SCOPUS database from 1977–2023.Then,VOSviewer was used to visualize the knowledge maps.This study focuses on the progress made by conducting knowledge mapping and scientometric review on composite marine risers.This scientometric analysis on the subject shows current advances,geographical activities by countries,authorship records,collaborations,funders,affiiliations,co‑occurrences,and future research areas.It was observed that the research trends recorded the highest publication volume in the U.S.A.,but less cluster affiiliated,as it was followed by countries like the U.K.,China,Nigeria,Australia and Singapore.Also,thisfiield has more conference papers than journal papers due to the challenge of adaptability,acceptance,qualifiication,and application of composite marine risers in the marine industry.Hence,there is a need for more collaborations on composite marine risers and more funding to enhance the research trend.
