Artificial Intelligent
Khairul Hafezad Abdullah; Davi Sofyan
Abstract
Safety and health are intricately interwoven and have become indispensable to the thriving business world and anthropology. It is concerned with ensuring employees’ physical, emotional, and mental well-being. Based on the Scopus and Web of Science databases, the current study intends to analyse ...
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Safety and health are intricately interwoven and have become indispensable to the thriving business world and anthropology. It is concerned with ensuring employees’ physical, emotional, and mental well-being. Based on the Scopus and Web of Science databases, the current study intends to analyse the global research output on machine learning in safety and health. This study utilized ScientoPy and VOSviewer to delve into the annual growth, patterns of research communication on source titles, international collaboration among countries, and authors’ keyword analysis. This study found that the Web of Science database tracks the evolution of publications throughout time. PLoS One has surpassed all other source titles in terms of publishing activity. Also, this study indicated that US researchers are constantly working on machine learning in safety and health research and have developed significant collaborations with China and Australia. Between 2020 and 2021, the University of Toronto published 86% of all papers, outpacing other institutions. The keywords “machine learning”, “artificial intelligence”, “electronic health records”, “deep learning”, and “mental health” were the most popular and trending keywords in 2020 and 2021, and “artificial intelligence” appeared in most publications among others. Future researchers should conduct scoping or systematic literature reviews to elucidate the relationships between these terms. This study may entice the curiosity of practitioners and researchers to advance new knowledge in this field by being devoted to cutting-edge research in the contemporary philosophy of science, cognitive, and cultural anthropology on machine learning in safety and health research. In conclusion, this scientometric analysis demonstrates that machine learning in safety and health is a study domain that requires further refinement in future research, as this technology has the potential to significantly improve workplace safety and health through targeted applications with clear benefits.
Mohammad Reza Amiri; Mohammad Karim Saberi; Ali Ouchi; Heidar Mokhtari; Sana Barkhan
Abstract
Bibliometric analysis of different fields of knowledge leads to a better understanding of the trend and quality of scientific products. The present study examined the publications on Altmetrics through bibliometric analysis and knowledge mapping. In this survey research, using quantitative indicators ...
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Bibliometric analysis of different fields of knowledge leads to a better understanding of the trend and quality of scientific products. The present study examined the publications on Altmetrics through bibliometric analysis and knowledge mapping. In this survey research, using quantitative indicators of scientometric, scientific developments in the field of altmetrics have been evaluated. The study population included all articles in the field of altmetrics (1077 documents) indexed in the Scopus database from the beginning to the end of 2020. The Excel and VOSviewer software packages were used to analyze the data. The findings show that scientific products in the field of altmetrics indexed in Scopus have been published since 2012; the quantitative trend of publications has been upward; Most of the scientific products in the field of altmetrics were original articles and in English. The United States, the United Kingdom, and Spain were the top and most productive countries in publishing documents in the field. Iran was ranked ninth with 52 documents. Regarding the number of publications, the University of Wolverhampton, the Administrative Headquarters of the Max Planck Society, and Leiden University were ranked first to third, respectively. Thelwall, M., with 42 articles, Bornmann, L., with 32 articles, and Haunschild, R., with 25 articles, were the most active authors. The most frequently used keywords were "Altmetrics", "bibliometrics" and "Social media". The highest number of documents in the field of Altmetrics has been published in the journal "Scientometrics". The most cited author was Thelwall, M., with 2691 citations. Due to the upward trend of scientific publications in Altmetrics and the beginning of its way, this upward trend will continue. Also, most of the top authors in the field are from universities and countries active in this field.
Soghra Golmaghani Zade Asl; hamideh aliakbari; Simin Sotouneh; Mojtaba Amani
Abstract
This study evaluated the scientometrics indices of Iranian medical sciences journals indexed in Web of Science, Scopus and PubMed databases until 2020. The present study is a descriptive and practical survey which was done using scientometric methods. The source of data collection includes Web of Science, ...
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This study evaluated the scientometrics indices of Iranian medical sciences journals indexed in Web of Science, Scopus and PubMed databases until 2020. The present study is a descriptive and practical survey which was done using scientometric methods. The source of data collection includes Web of Science, Scopus and PubMed databases. Excel statistical software was used to analyze the data, and net draw software was used to plot the graphs. A survey on Iranian medical journals' status revealed that the number of journals in all three databases has been growing. "General and Internal Medicine", "Health", and "Pharmacology, Toxicology and Pharmacy" are the subjects with the highest number of indexed journals in these databases. Furthermore, a qualitative review of indexed journals showed that more than 70% of Iranian journals have an impact factor of less than two. "International Journal of Health Policy and Management" of Kerman medical sciences university and "Bioimpacts" of Tabriz medical sciences university are the only medical journals with impact factors greater than 3 (5.007 and 3.831). Conclusions: Generally, despite the significant growth of indexed medical journals in recent years, most Iranian journals are not ranked among high-quality journals according to global indexing criteria.
Ali Biranvand; Amir Reza Asnafi; Zeinab Biranvand
Volume 20, Issue 4 , October 2022, , Pages 153-168
Abstract
The current study aims to calculate the relationship between Altmetric scores obtained from the observation and dissemination of digital library resources in the Dimensions database and the number of citations received in the Scopus database. Also, in another part of the research, the predictive power ...
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The current study aims to calculate the relationship between Altmetric scores obtained from the observation and dissemination of digital library resources in the Dimensions database and the number of citations received in the Scopus database. Also, in another part of the research, the predictive power of the number of Scopus citations by Altmetric scores is examined. The present research is applied in terms of purpose and survey-descriptive in terms of type, which is done by the scientometric method and with an Altmetric approach. The statistical population of the study includes all articles in the field of digital libraries (24183 records) that are indexed in the Scopus citation database during 1960-2020. Dimensions database has been used to evaluate the Altmetric scores obtained from these articles on social networks. Due to the limited access to the required data in the Scopus database, 2000 highly cited articles in the field of digital libraries in this Scopus database were studied through the Dimensions database. The data collection tools are Scopus Citation Database and Dimensions Database. The required data is collected through the Scopus database. In this study, the studied indicators from the Dimensions database appear as the independent variable of the research. The dependent variables in this study are the number of citations to articles in the Scopus database. Correlation tests and multiple regression between the studied indices are used to examine the relationships between variables and perform statistical tests. The software used is Excel and SPSS version 23. The present study results show that the social networks Patent, Facebook, Wikipedia, and Twitter have the highest correlation with the number of citations in the Dimensions database. The social networks Blog, Google User, and Q&A do not significantly relate to the number of citations received in Dimensions. Patent social networks, Wikipedia, and Twitter have the highest correlation with the number of Scopus citations. In this case, the social networks of Blog, Google User, Pulse Source and Q&A do not significantly correlate with the number of citations received. Among the citation databases studied, Mendeley has the highest correlation between the numbers of citations. Other results indicate that the publication and viewing of documents on social networks cannot predict the number of citations in the Dimensions and Scopus databases.https://dorl.net/dor/20.1001.1.20088302.2022.20.4.10.9
Azubuike Ezenwoke
Volume 20, Issue 3 , July 2022, , Pages 25-39
Abstract
Computer science is a burgeoning research field and has the potential to accelerate the rate of industrialisation and subsequently, economic development. Using bibliometric data obtained from Scopus, this study employed a 15-year informetric analysis to highlight Nigeria’s productivity and impact trends ...
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Computer science is a burgeoning research field and has the potential to accelerate the rate of industrialisation and subsequently, economic development. Using bibliometric data obtained from Scopus, this study employed a 15-year informetric analysis to highlight Nigeria’s productivity and impact trends in the computer science research landscape. Our findings are summarised as follows: First, Nigeria’s computer science research contribution and citations are meager in comparison to the global output. Secondly, international collaboration is generally weak as most collaborations are national in scope. Third, Nigeria’s computer science-related research is published in low-quality outlets, as Scopus has discontinued the indexing of most of the outlets. Although, the publication growth trend is encouraging, the volume and impact of computer science-related research can improve significantly with the conduct of more quality researches that facilitated by strong international collaborations, and published in very high-quality outlets.https://dorl.net/dor/20.1001.1.20088302.2022.20.3.3.0
Ali Biranvand; Zohreh Cheraghi
Volume 20, Issue 3 , July 2022, , Pages 215-225
Abstract
This study aimed to identify the effect of Altmetrics indicators of Mendeley resource management database on scientometric indicators in Scopus and Web of Science citation databases. The present study is an applied and descriptive research that has been done by scientometric method with Altmetrics approach. ...
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This study aimed to identify the effect of Altmetrics indicators of Mendeley resource management database on scientometric indicators in Scopus and Web of Science citation databases. The present study is an applied and descriptive research that has been done by scientometric method with Altmetrics approach. The statistical sample for the study includes Iranian researchers in the field of nursing who had an indexed document in the Scopus citation database, in the period 2000-2019 and on the date of the research (20/03/2020), and was also a member of the Mendeley resource management database. There were 158 high-profile authors introduced by Scopus. Findings illustrated that there is no significant relationship between the h-index in Scopus and the followers' index in Mendeley. However, there is a significant relationship between the other indicators studied in these two databases. There is also a significant relationship between co-authorship index, h-index, citations, readers, publications, and viewers in Mendeley scientific social network with indexes of citation number and h-index in the Web of Science citation database. But there is no significant relationship between the follower’s index and these indicators. Examining the relationship between the numbers of citations received in Mendeley, Scopus, and Web of Science shows that there is a significant relationship between the numbers of citations received in these databases. Respectively, the strongest correlation, in this case, is between the citation index received in the Mendeley and Web of Science database, Mendeley and Scopus, and finally Scopus and Web of science. There is also a significant relationship between the etch index in the Mendeley, Scopus, and Web of Science databases. The correlation between the Mendeley h-index and Web of Science is stronger than the correlation between the Mendeley h-index and Scopus.https://dorl.net/dor/20.1001.1.20088302.2022.20.3.12.9
Mohammad Ebrahim Samie; Ali Biranvand; Sareh Rahmaniyan; Ebrahim Maleki Varnamkhasti
Volume 20, Issue 1 , January 2022
Abstract
This study analyzes the link between Mendeley indexes of scientific-citation networks and Scopus, taking into account the beneficial influence of researchers' actions in social networks on scientometric indices of works indexed in databases like Google scholar and WoS. In this basic/descriptive study, ...
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This study analyzes the link between Mendeley indexes of scientific-citation networks and Scopus, taking into account the beneficial influence of researchers' actions in social networks on scientometric indices of works indexed in databases like Google scholar and WoS. In this basic/descriptive study, we use the Altmetrics approach to describe Iranian researchers’ activities in industrial engineering in scientific-citation networks. In this study, researchers whose activities are recorded with Iranian affiliation in scientific-citation networks have been briefly named Iranian researchers. The corpus of the study included the works of 160 Iranian researchers in the field of industrial engineering, indexed in the Scopus in the period 2000-2019. To test the likely correlation between the measures of social networks (SN) activities with scientometric ones, simple and multiple correlation tests were carried out by Excel and SPSS software. The correlation between the number of times a document was read, the number of citations, and the measures in the Mendeley, Scopus, We of Science (WoS), and Google Scholar (GS) was very high. However, the correlation between the number of readers in the Mendeley and co-authorship in Scopus was low. There was a strong correlation between the number of citations in Mendeley and that in other databases. The correlation between the authors' H-index in the Mendeley database and other databases is positive and significant, stronger in Scopus and WoS than Google Scholar. It was finally concluded that researchers’ activities in social networks attract more readers, increase the number of citations and thus increase the H-index score in databases. Therefore, they need to be more active in social networks to increase their H-index score and promote academic publications.https://dorl.net/dor/ 20.1001.1.20088302.2022.20.1.14.7
Reza BasirianJahromi; Shohreh SeyyedHosseini
Volume 20, Issue 1 , January 2022
Abstract
Studying the social impact of scientific outputs on social media alongside their professional impact in the scientific database could lead the policymakers to outline the scientific roadmap. The current research aimed to investigate the relationship between altmetrics activity (social impact) and the ...
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Studying the social impact of scientific outputs on social media alongside their professional impact in the scientific database could lead the policymakers to outline the scientific roadmap. The current research aimed to investigate the relationship between altmetrics activity (social impact) and the quality of the maternity and midwifery journals (professional impact) indexed by Scopus in 2018. In this descriptive and relational research, altmetric and bibliometric indicators were utilized to study journal performance. The population included all maternity and midwifery journals in the Scopus (n=25). Altmetric Explorer, Scopus, Scimago Journal, Country Ranking (SJR), plus Journal Metrics were used for data gathering. Moreover, data analysis was conducted using descriptive and inferential tests in Microsoft Excel and SPSS. Of the 1944 papers with unique DOIs published in maternity and midwifery journals in 2018, 952 articles were mentioned at least one time on social media platforms (altmetrics coverage of 48.97%). The highest rank of the altmetrics coverage belonged to the Midwifery journal, The Journal of Perinatal and Neonatal Nursing, and Women and Birth, respectively. On the other side, the highest rank of the altmetrics attention belonged to Breastfeeding Medicine, The Journal of Perinatal and Neonatal Nursing, and Geburtshilfe und Frauenheilkunde, accordingly. There was a positive and statistically significant relationship between the altmetrics activity of journals and their qualitative metrics. The current research revealed that papers published in higher quality journals are more likely to be shared on social media platforms and get more altmetrics attention.https://dorl.net/dor/ 20.1001.1.20088302.2022.20.1.15.8
Abdul Syahid
Volume 18, Issue 2 , August 2020, , Pages 33-49
Abstract
This study portrays the status of Open Access Journals in the ten countries joining the Association of Southeast Asian Nations. Integrating the data from the ASEAN Citation Index, Directory of Open Access Journals, and Scopus, each captured from wider to narrower angels, this work could take a better ...
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This study portrays the status of Open Access Journals in the ten countries joining the Association of Southeast Asian Nations. Integrating the data from the ASEAN Citation Index, Directory of Open Access Journals, and Scopus, each captured from wider to narrower angels, this work could take a better full-length portrait of such journals including some relevant information in the region.In the first index, the nine countries registered 587 journals, over 50% not listed in the second index. In the second index, the six member states published 1,623 journals of which 39% adopted Creative Common BY. For about two decades they have shown publication and registration growth rates over double than the world has. Indonesia could dominate in all but the third index. In Scopus, the journals in the region averaged below the global averages of all bibliometric indicators but Scholarly Output. Despite this, three countries were above the global average in eight indicators. Over 40% of the 98 journals were ranked in Quartile 2.Such a marked contrast between the number of journals indexed in the second index and that in the third one could lead to the better intra- and inter- collaborations to give the scientific productivity higher visibility and impact.
Saeideh Ebrahimi; Fatemeh Setareh
Volume 15, Issue 2 , June 2017
Abstract
A review on previous literature shows that there is a correlation between discussion and recommendation. Therefore, we aimed to assess the relationship between these two metrics in four systems (Scopus, Web of Science, PubMed Central, and CrossRef) simultaneously and separately. This was a descriptive ...
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A review on previous literature shows that there is a correlation between discussion and recommendation. Therefore, we aimed to assess the relationship between these two metrics in four systems (Scopus, Web of Science, PubMed Central, and CrossRef) simultaneously and separately. This was a descriptive correlational study on 90728 research articles published in seven biomedical journals in the PLOS system during 2009-2013. The sample size was calculated based on the Cochrane formula to be 1892 articles. For data collection, PLOS system was used which enables free access to the articles of important biomedical journals. This system includes 7 journals cited from 2003. Data were analyzed usingSPSSsoftware, version21. Inthis study, we found a negative and statistically significant correlation between discussion on Twitter and the citation-based systems. We found no correlation between discussion on Facebook and citation. On the other hand, we found a positive and statistically significant correlation between recommendation by F1000 and citation. We found that discussion on virtual networks and recommendation are two types of feedback in virtual environments. However, among the various systems, the F1000 and Wikipedia were able to provide significant feedback leading to citation.
