Reza BasirianJahromi; Hossein Arfaeinia; Shohreh SeyyedHosseini
Volume 20, Issue 4 , October 2022, , Pages 103-116
Abstract
Policymakers and experts should trust health studies. On the other hand, it should be considered by the general public. Altmetrics, as a new method, seeks to examine the social effects of researchers' scientific outputs along with citation analysis indices. The present study aims to investigate the effectiveness ...
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Policymakers and experts should trust health studies. On the other hand, it should be considered by the general public. Altmetrics, as a new method, seeks to examine the social effects of researchers' scientific outputs along with citation analysis indices. The present study aims to investigate the effectiveness of the articles published by researchers in the field of waterpipe/cigarette smoking on the Web of Science database during 2010-2019. This paper is a descriptive-analytical study with a correlational approach in the citation analyses using the Altmetrics index. The statistical population consists of papers on waterpipe/cigarette smoking by Middle Eastern researchers during 2010-2019 published on the Web of Science. The data is extracted using the Altmetrics Bookmarklet and analyzed it by excel and SPSS.From the total number of scientific articles in the field of waterpipe/cigarette smoking by Middle Eastern researchers during the research period, 1,086 articles were indexed on the Web of Science, and only 2% of them had no Digital Object Identifiers (DOI) or PubMed Identifiers (PMID); on the contrary, 50% of the articles had Altmetrics scores. Among the social networks cited by the researchers of the Middle Eastern countries in the field of waterpipe/cigarette smoking, the shares of social networks, namely Dimensions, Mendeley, and Twitter, were the most. The most significant number of citations of the articles on Mendeley and Twitter belonged to U.S. and U.K. users. Also, medicine and dentistry had the highest number of Mendeley citations. The correlation coefficient between the altmetrics score and citation index was poor but significant (R=0.32, P <0.05). The publication of research papers on the social web (i.e., social networks) increases the visibility of the documents and makes them visible to a broad audience. This is effective in the future of citations of articles on citation databases. This further increases the qualitative performance indices of the papers by receiving more citations.https://dorl.net/dor/20.1001.1.20088302.2022.20.4.7.6
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
Shohreh SeyyedHosseini; Reza BasirianJahromi
Volume 19, Issue 1 , December 2021, , Pages 15-26
Abstract
Traditional citation analysis has been greatly criticized because the process of citation accumulation requires considerable time after publication. So, the term “altmetrics” was proposed in 2010 to measure the scientific and social impact of a paper. According to the deficiencies of traditional ...
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Traditional citation analysis has been greatly criticized because the process of citation accumulation requires considerable time after publication. So, the term “altmetrics” was proposed in 2010 to measure the scientific and social impact of a paper. According to the deficiencies of traditional citation analysis, we performed a comprehensive search for medical ethics publications using the altmetrics approach from the beginning until 2019. In this descriptive-analytical study, we retrieved the articles discussing any topics relating to medical ethics that published in the Scopus database from the beginning till 2019 using related medical ethics keywords. A total number of 455 articles with altmetrics scores and citations, included in this study. Altmetrics data were extracted via an altmetrics bookmarklet. Dimensions, Mendeley, and Twitter, had prominent sources of attention on social media platforms. The most number of tweets, and Mendeley's attentions, in the medical ethics fields, originated from the United States (US) and the United Kingdom (UK). Moreover, master students have the largest share in the citation of articles in Mendeley. Journal of Medical Ethics and History of Medicine has the most proportion of altmetrics score among Iranian papers in medical ethics. The correlation between the altmetrics score and citation index was significant (p <0.05). The medical ethics researchers have to pay more attention to social activities (such as creating and updating their profiles on social media) on the web for wide dissemination and proper evaluation of their scientific publications.
Nosrat Riahinia; Forough Rahimi; Maryam Jahangiri; Saideh Mirhaghjoo; Fatemeh Alinezhad
Volume 16, Issue 2 , July 2018
Abstract
The present study aimed to investigate the relationship between traditional citation indexes representing hot papers in the field of “Clinical Medicine” and their bookmarking and readership in “Mendeley software”. The citation counts of hot papers were extracted from Essential Science Indicators ...
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The present study aimed to investigate the relationship between traditional citation indexes representing hot papers in the field of “Clinical Medicine” and their bookmarking and readership in “Mendeley software”. The citation counts of hot papers were extracted from Essential Science Indicators (ESI) and Web of Science (WoS). As an applied research adopting a descriptive-exploratory method, the present study used the Essential Science Indicators to retrieve hot articles published between 2014 and 2016, indexed in the category “Medical Sciences”. Each record was then searched in Mendeley to obtain the number of readership of the paper and the academic status of the users. The results showed a significant positive correlation between Mendeley readership and citation indexes in both ESI and WoS. Moreover, the most frequently-cited articles in both databases attracted more readers in Mendeley than lowly-cited publications and both hypotheses were confirmed. Moreover, the findings revealed that Mendeley users had assigned a total number of 3847 tags to the hot papers, with the tags ranging in frequency from zero to 38 for individual articles. Compared with author keywords and Plus, about 10 percent of users’ tags were either meaningless or repetitive. The value of present study shows that “Mendeley Sofware” with the possibility of tagging articles, can be used to create a searchable folksonomy of information and as a source of data in information retrieval studies, help professionals to manage their literatures and make their research life easier.
