The purpose of this study was to identify the language consistency between indexers, authors and taggers in the ERIC and Mendeley databases. This survey was conducted using content analysis methods and techniques to evaluate the language consistency between indexers, authors and taggers in the ERIC and Mendeley databases and also to determine common keywords. The sample for this study was comprised of top twenty journals in the field of Educational Research based on the Journal Citation Reports (JCR) of Web of Science, indexed in the ERIC database in 2014. Finally 499 articles published in the above-mentioned journals in 2014 were chosen as the sample base for the dataset. Note that only articles with author-supported keywords, indexed in the ERIC database and also tagged in the Mendeley database from January 2014 to August 2016 were eligible to be assessed. Descriptors assigned to the articles on the ERIC database and tags associated to the articles on the Mendeley database for the period from January 2014 to August 2016 were extracted. Also authorassigned keywords assigned to all 499 articles were collected. Finally we created a software based on object-oriented programming (OOP) in C++ to analyze the search results. Descriptive statistics and measures, and thesaural term comparison show that there are important differences in the context of keywords from the three groups. This study demonstrated that there were differences between the tagger, author and professional indexer views of the words used as tags, descriptors, or author-assigned keywords. The results showed that the consistency between the author-supported keywords and user tags of the 499 articles in the Mendeley was 15 percent; while the consistency between descriptors designated to the articles in the ERIC database and user tags associated to the articles on the Mendeley were three percent. On the other hand, the consistency between descriptors assigned to the articles in the ERIC database and the author-assigned keywords were 4 percent. Finally, the language consistency between the three above-mentioned groups was 1. 1 percent. Also note that the presence of descriptors in the ERIC thesaurus was 34 percent, which were more than the author-supported keywords and tags. The findings showed that the consistency between the keywords used by authors and taggers were more than the keywords chosen by indexers and authors, and by indexers and taggers. This means that three sides of the information representation triangle, i. e., indexer, author and tagger are unfamiliar with each other’ s language. It is worth noting that tags are useful supplements to controlled vocabularies, since the former provide a means for social organization of knowledge outside the framework of the latter. The low consistency between tags and descriptors in this research indicates that Mendeley users do not use the same terminology as subject specialists who maintain descriptors in the ERIC thesaurus. Further research involving semantic analysis of Mendeley tags may reveal an emerging vocabulary suitable for inclusion in the ERIC thesaurus as a controlled vocabulary.

Purpose: A comparative study of citation prediction model through web altmetrics (visibility, save and download, readers) in the fields of health science, life science, physical science, humanities and social science is the aim of this study. Methodology: The present study is a scientometric study that has been done with the method of citation analysis and web data analysis. Sampling was done by random and stratified method. The Sample size was 2000 articles from 4 subject areas, the indicators of which were extracted from Mendelian, Figshare, PlOS and Scopus systems and analyzed by Multiple Regression Analysis method. Findings: The results showed that in four subject areas, web measures act as a predictor of citation indicator and there is a significant correlation between them. The extent of this correlation and predictive power depends on the subject area and covers a range of negative to positive correlations. Conclustion: The difference between regression model of citation prediction through web altmetrics in the variety of fields indicates the distinction among subject areas and their patterns in web metrics which should take in to account for assessments to avoid interdisciplinary comparisons. In the areas with powerful prediction model, web metrics can use separately and as an early predictor of citation. In other areas with weak prediction model, it is suggested that both metrics are applied for the best result.

Background and Aims: The emergence of social web and impact on the communication of the individuals and the scientific activities of various communities has created serious research links among researchers. This issue that how Iranian researchers keep up to date themselves with new technologies and use them to engage in scientific issues has been a challenge that is constantly being addressed in the digital world. Therefore, the purpose of this study was to evaluate the scientific production of dentistry in Tehran University of Medical Sciences in the networks of ResearchGate and Mendeley using the Scopus citation database between 2015 and 2016. Materials and Methods: The study population included all scientific articles in the field of dentistry of Tehran University of Medical Sciences which were indexed in Scopus database between 2013-2016. The results were presented using descriptive statistics in the form of charts and tables. Results: In this study, it was determined that the scientific outputs of the researchers from Tehran University of Medical Sciences increased in 2015 and 2016. It was also found that the coverage of articles in the field of dentistry published by researchers at Tehran Medical Sciences Universities in the Scopus citation database in the mentioned years, were in a good position in both the Mendeley and ResearchGate networks. In addition, the number of references to the articles by researchers at Tehran University of Medical Sciences on the ResearchGate network in the field of dentistry was more than the Mendeley network. Conclusion: Based on the results of this study, it can be concluded that the performance of the researchers of the Tehran University of Medical Sciences in the field of oral and dental care and the extent of their coverage in the social networks of ResearchGate and Mendeley was high and desirable.

The present study aims to investigate the effectiveness of published articles of scholars in the field of “ Quran & Health” in Scopus and Web of Science during 2009-2018. This research was an applied descriptive-analytical study that was conducted as a scientometric study. The population included all the Iranian scholars’ papers in the field of “ Quran & Health” during 2009-2018 in Scopus and Web of Science databases. Data were processed by altmetrics bookmarklet and analyzed with Excel. Based on the findings of all scholarly articles in the fields of Qur'an and health in the period under study, 331 records indexed in Scopus and Web of Science that some of the articles contain a digital object identifier (DOI). Among them, the low percentage had an altmetrics score. Mendeley and twitter had a greatest proportion in mentioning Iranian scholars’ papers. The highest number of sharing these articles belonged to United States and England. Medicine and Dentistry had a highest number of Mendeley’ s references. The findings indicated that the low percentage of the Iranian articles had the digital object identifier. Therefore, it can be suggested that Iranian scholars in the field of “ Quran & Health” have to pay m.

With the occurrence of the first phase of the Islamic Revolution in 1979, important tasks in order to realize the goals and ideals of the Islamic Revolution were assigned to the blessed seminary as the only institution in charge of the affairs and issues of the Islamic religion during the Occultation. The Islamic revolution, which has the characteristic of permanent transformation, does not end with the occurrence of the first stage, which was the change of political governance, but the formation of an Islamic state, the achievement of the Islamic Ummah, and ultimately the Islamic civilization, are among the major goals and stages of the revolution process. Therefore, it is not possible to bring the revolution to its destination without digging and researching in the revelation texts and jurisprudential sources in order to nourish the intellectual power of Islamic political governance and to meet the theoretical and practical needs of the Islamic government. In this article, the responsibility of scholars and students in the field of government jurisprudence and the importance of social rules and branches of Islam is discussed. Seminaries can produce

Introduction: Altmetrics is a new concept retrieved from citation indicators based on Web 2.0 that can evaluate all academic outputs. This descriptive survey aimed to compare the citation rate of academic articles affiliated by Guilan University of Medical Sciences, Iran, in two social scientific networks.Methods: The recent study was descriptive applied research carried based on scietometric approach. All of the academic articles with affiliation of Guilan University of Medical Sciences indexed in Scopus from 1997 to 2015 (845 articles) were chosen. Then, the citation rates of articles with details of indicators in two scientific social networks, Research Gate and Mendeley were followed. The collected data were analyzed using SPSS software, through analytical statistic tests such as Student-t and Pearson Correlation Coefficient testss. The significant level was less than 0.05 in this study (P<0.05).Results: All of 845 academic papers were cited 3199 times in Scopus database until 2015. The citation rate in Research Gate (87%) was more than the citation rate in Mendeley (52%). There was a positive significant correlation between citation rate of articles, observation rate and download rate of articles in Resaerch Gate. In addition, there was a positive significant correlation between citation rates with reading frequency of articles in Mendeley (P<0.05).Conclusion: According to the results, the Research Gate and Mendeley scientific networks have more impact on increasing the amount of download and as a result, the citation rate of articles. Therefore, researchers in medical sciences can use these networks as a "search for information" and "self-archive" for the purpose of greater use and citation of their scientific activities.

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.

Purpose: The significant influence of scientific and citation networks among scientific societies has caused that while identifying influential individuals and universities in each field, the issue of knowledge sharing is also highly considered. With this in mind, the present study investigates the relationship between Mendeley academic social network Altmetrics indices and Scopus, Web of Science, and Google Scholar databases in the field of economy, management, and accounting. Methodology: The present study is applied research that has been done in a descriptive-survey method with the Altmetrics approach. The statistical population of the research includes Iranian Authors and researchers in the field of economy, management, and accounting who had indexed documents in the Scopus database in the period of 2000-2019. 160 of the most prolific authors have been introduced and reviewed by Scopus. In order to analyze the data, in addition to descriptive statistics, in the inferential statistics section using Excel and SPSS software, a simple and multiple correlation test between the studied indicators has been used. Results: The results show a significant and positive relationship between the indicators studied in Mendeley with the scientometric indicators of Scopus, Web of Science, and Google Scholar databases. This relationship is very high in cases such as reading frequency, a number of citations, and HTML index score, Mendeley with Scopus, Web of Science, and Google Scholar, and weak in cases such as Mendeley reader index with Scopus co-authorship index. The results show that the degree of correlation between the citations received in Mendeley and other databases is very high. Also, the relationship between the authors' index in Mendeley and other databases is positive and significant. This relationship is stronger between Scopus and Web of Science than the other databases. Conclusion: Due to the positive and significant relationship between Mendeley indicators and indicators of other databases, the use of this academic social network in publishing and sharing research results can attract more citations.