Vysakh Chingath; Rajendra Babu Hanumanthappa
Abstract
Social media attention to scholarly articles has become a novel measure for assessing the broader impact of research, which complements the traditional citation metrics. This article examined the correlation between citations with major altmetric indicators for 1951 LIS articles published in 2020. Altmetric ...
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Social media attention to scholarly articles has become a novel measure for assessing the broader impact of research, which complements the traditional citation metrics. This article examined the correlation between citations with major altmetric indicators for 1951 LIS articles published in 2020. Altmetric Explorer was used for collecting the data, and analysis was done using Excel and SPSS. The result showed that LIS articles were well engaged on social media platforms gaining more societal attention than their scientific reference in terms of citations. Mendeley (69.40%) and Twitter (28.72%) were the top intakes of LIS articles, and Pinterest (0.001%) and F1000 (0.001%) were the least ones. The users from the USA were the major Twitterati for the LIS articles, with average Tweeters of -0.58 across the globe. The users from the UK were the top mentioner of the articles on Facebook (2.7%), while the USA was on the News and mainstream media (55.6%). Except for Peer review (r= -0.05), all other altimetric indicators were positively associated with Dimensions citations. The study's findings allow the authors to analyze the societal impact of their scholarship through altmetric indicators and use altmetric indicators as supplementary to the citation metrics for measuring the immediate impact of the LIS scientific outputs.
Maryam Esmaeilzadeh; Shokoufeh Bonakdaran; Heidar Mokhtari; Ali Ouchi
Abstract
This applied altmetric study aimed to analyze the presence of highly-cited documents on diabetes mellitus in online social media and correlate their altmetric attention scores with their received citation counts. Twenty thousand highly-cited documents on diabetes mellitus were identified in Scopus and ...
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This applied altmetric study aimed to analyze the presence of highly-cited documents on diabetes mellitus in online social media and correlate their altmetric attention scores with their received citation counts. Twenty thousand highly-cited documents on diabetes mellitus were identified in Scopus and their altmetric attention scores (ASSs) were extracted from Altmetric Explorer (Altmetric LLP, London, UK). Received citation rates of the documents were extracted from Google Scholar, Scopus, Web of Science and Dimensions. Excell 2016 and SPSS 22 were used for data statistical description and analysis. Out of 19,383 DOI-owner highly-cited documents on diabetes mellitus, 16,076 (82.94%) were shared at least once in social media and had an altmetric attention score. Mendeley ranked first in sharing documents with 16,868 documents (87.02%). Six hundred forty-six thousand one hundred eighty-four tweets were tweeted on the studied documents from 222 countries, with the United States as first-ranked country (17,453 tweets, 18.2%). The highest-mentioned journal was the Lancet, and the highest-mentioned research institute was Harvard University. A significantly positive correlation was found between the altmetric attention scores of the studied documents and their citation counts in Google scholar (r= .842, p<.01), Scopus (r=.855, p<.01), Web of Science (r=.709, p<.05) and Dimensions (r= .841, p< .01). Regarding the central role of presence in social media in increasing the visibility and citability of documents, researchers must use the potentiality of social media and Web 2 tools for more sharing their scientific works and increasing the influence of their research output. In this study the relationship between the presence of documents in online social media and tools and their received citation rates was investigated in a large sample (20,000 diabetes mellitus documents). The results benefit researchers and research administrators for sharing and publicizing research output in social media.
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.
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; 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
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.
Mozhdeh Salajegheh; Sareh Dayari
Volume 17, Issue 1 , January 2019
Abstract
Early altmetric investigations have focused on measuring the correlations between citation and altmetrics to partially validate the new metrics articles (Thelwall, Haustein, Larivière, & Sugimoto, 2013; Priem, & Hemminger, 2010; Costas, Zahedi, & Wouters, 2014). The main aim of this research ...
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Early altmetric investigations have focused on measuring the correlations between citation and altmetrics to partially validate the new metrics articles (Thelwall, Haustein, Larivière, & Sugimoto, 2013; Priem, & Hemminger, 2010; Costas, Zahedi, & Wouters, 2014). The main aim of this research is to study the relationship between citation count indicator and almetrics or the new metrics in social -web of medical sciences journals. Present research is an applied research and the method used for doing it, is descriptive from correlation type which test relationship between citation count indicators and almetrics or the new metrics in social web. 111 medical sciences journals which have the highest SJR in Scopus databases were selected as research population from Scimago Journal Ranking (SJR) 2013-2014. Altmetrics—alternative metrics usually based on data from the social web which could be seen as a particularly promising approach in efforts to find appropriate measures for assessing Medical Science Journals were extracted through altmetrics.com. Research results show that there is significant correlation between Medical science journals altmetrics tools like F1000, Mention, Facebook, and News and their citation Numbers. There is no significant correlation between Medical science journals altmetrics tools like Reddit, Blog posts, Google plus, Tweets and their citation numbers. Structural equation modeling also shows the same results.
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.
Saeideh Ebrahimy; Fatemeh Setareh
Volume 16, Issue 2 , July 2018
Abstract
This study aimed to assess the paths through which save metrics (on CiteULike, Mendeley, and Figshare) and discussion metrics (on Twitter, Facebook, and Wikipedia) influence citation. This descriptive-correlation study investigates the relationships between different variables based on its proposed conceptual ...
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This study aimed to assess the paths through which save metrics (on CiteULike, Mendeley, and Figshare) and discussion metrics (on Twitter, Facebook, and Wikipedia) influence citation. This descriptive-correlation study investigates the relationships between different variables based on its proposed conceptual model. Systematic and stratified sampling was employed and, using the Cochrane formula, the sample size was determined to be 1892 articles. Data were collected using the PLOS altmetrics, and path analysis was administered to test the conceptual model by using AMOS software. The results convey that Mendeley was the most effective path resulting to citation. Mendeley has a positive and significant relationship with citation via save as an intermediator. Twitter also had a negative and significant relationship with citation via discussion as an intermediating factor. Yet, neither save metrics on CiteULike and Figshare nor discussion on Facebook and Wikipedia does create a path of influence on citation. Identifying the effective paths through which social networks affect citation via altmetrics and presenting a final model of those paths could enrich and expand the theoretical foundations in the field of altmetrics. Besides identifying the most effective social networks and paths for online scientific interactions that lead to citation, the implications of this research can provide deeper insights for policy makers, editors and scholars.
