جستجوی مقالات مرتبط با کلیدواژه « التمتریکس » در نشریات گروه « پزشکی »

One of the methods for evaluating scientific productions that has long received attention is citation analysis. Considering the limitations of citation analysis and the proliferation of social media and its importance in the dissemination of research results, there seems to be a need for new indicators, called altmetrics, in addition to the traditional indicators for research evaluation. Therefore, the aim of the current study is to investigate the status of articles in the field of opioid addiction using bibliometric  indicators and altmetrics, as well as to determine the relationship between the citation performance and the altmetrics performance of articles in this field.

This study is a descriptive-analytical study of an applied type, which was carried out using bibliometric and altmetrics methods. The research population includes 16,803 titles of articles in the field of opioid addiction indexed by the Scopus database from the beginning to 2022. The Scopus database and PlumX tool were used for data collection, and Excel and SPSS were used for data analysis.

80.6% of the studied publications were cited. 95% of these publications were mentioned at least once in one of the social media. The results of the research show that statistically, there is a significant and positive relationship between the number of citations and all the altmetrics.

Considering the positive correlation between citation and altmetrics in this study, it can be said that social media can have a positive impact on the number of citation of scientific articles. Therefore, researchers in the field of opioid addiction can use social media and share their works in various social media to get citations for their scientific activities.

Social networks in general and scientific social networks in particular have always attracted the attention of human groups and communities. The purpose of this article is to investigate the willingness to attend and use these communication tools from various aspects.

The present study is a fundamental study that examines the requirements for the use of scientific social networks in universities and research environments with a library approach. The views and opinions of different people have been studied and the effects of using social networks on the scientometric indicators of databases have been introduced.

The results of Altmetrics studies in the field of medical sciences show that the activities of researchers in social networks have a positive and significant effect on scientific metrics. In the studied researches, Altmetrics indices have been introduced as alternative measures of traditional methods for measuring and evaluating researches and calculating the amount of scientific effects used. The results of the conducted research show that the activity in scientific social networks has led to the favor and attention of other peers and has a positive effect on the recognition of people in scientific societies and, as a result, the increase of scientometric indicators such as the H-index score and it has the number of citations received.

Given the positive role of scientific social networks in increasing scientific indicators, officials of universities and research institutes should encourage researchers to use scientific social networks and teach them how to do it. Not only enhance their achievements, but also increase the impact and knowledge of their respective research units.

ResearchGate is one of the most popular social networking websites for scholars. This study aims to investigate the presence of the faculty members of Hamadan University of Medical Sciences (HUMS) on ResearchGate by using an Altmetrics approach.

The study population consists of the profiles of the faculty members from HUMS, Hamedan, Iran on ResearchGate in 2021. For Altmetrics study, first their profiles were visited. Their data were then extracted which included Research items, Total Research Interest, Questions, Answers, Followers, Followings, Reads, Recommendations, RG Score, Citations, and h-index. Their total citations were then extracted from the Web of Science, Scopus, and Google Scholar databases. Finally, the collected data were analyzed in SPSS v. 25 software, using Kolmogorov–Smirnov test and Spearman correlation test.

All faculty members of HUMS had a profile in ResearchGate and 78.31% had joined ResearchGate. The statistical analysis showed a significant positive correlation between RG score and citations on ResearchGate, Web of Science, Scopus and Google Scholar.

Through active participation in ResearchGate and sharing published studies, medical scholars can make their works more visible and get more citations.

Infectious Diseases are among the diseases involved in public health and a high percentage of causes of death worldwide are attributed to these diseases. The purpose of this study was to investigate the status of highly cited articles in the field of infectious diseases based on bibliometrics and Altmetrics indicators.

This descriptive-analytical research was applied research that has been done using bibliometrics and Altmetrics methods. The research population included 687 highly cited articles indexed on the Web of Science (WOS) database between 2010-2020. Web of Science database and Bookmarklet tool was used for data collection and VOSviewer, Excel, and SPSS software were used for data analysis.

The production process of highly cited articles have had an upward trend. The highest publication rate was in 2020 and the lowest in 2010. The United States published the largest number of articles with 49%, and Lisa Maragakis and Deborah Yokoe were among the most prolific writers. The Lancet Infectious Diseases Magazine and the Center Disease Control Prevention Institute have contributed the most to the publication of articles citing infectious diseases. Vocabulary: COVID 19, epidemiology, disease, mortality, and infection were the most widely used terms in the field of infectious diseases. Mendeley and Twitter were also among the most important social media sites that cited highly cited articles.

The results showed that there is a significant relationship between Altmetrics indices and the number of citations. Also, by identifying the characteristics of highly cited articles in the field of infectious diseases, an attempt has been made to provide a clear view of the top authors, countries, institutions, and journals, and of course, researchers can use the hot and emerging topics identified in this research in future research.

Altmetrics indicators can be used alongside traditional bibliometric concepts based on citation analysis to evaluate the impact of scientific publications via the web. The aim of this study was to analyze the presence of articles of Hamadan University of Medical Sciences in social media to determine the interests of the researchers via social media.

This descriptive study was performed using Altmetric indicators. The statistical population of the study included 3757 research outputs, published by faculty members and researchers of Hamadan University of Medical Sciences in the Scopus citation database from 1992 to the end of 2018. No sampling was performed and all the research outputs were included in the study as a sample size. Excel and SPSS were used to analyze the data.

The results showed that out of 3757 research outputs, 665 outputs (18%) were shared at least once in tools and social networks and had Altmetrics Attention Scores (AAS). Mendeley was one of the most-mentioned social media sites (631 articles, 16.79%). In terms of professional status, Mendeley readers were mostly master students (4594 people). In total, users in more than 64 countries tweeted the research outputs 9707 times. There was a significant positive relationship between Altmetric indicators and citation numbers of the research outputs (P<0.001).

Social media has a positive effect on societal impact and increases the citation rate of scientific research outputs. Therefore, the affiliated researchers can increase their citations, impact and visibility by sharing their work on social media, particularly Mendeley.

Nowadays, with the increasing use of Web 2 capabilities, the scientific evaluation of researchers has been considered using altmetrics. The aim of this study was to analyze the correlation between ResearchGate (RG) indicators and academic Times ranking among prominent faculty members in the field of computer sciences affiliated with the top scientific centers (Times) in 2020.

The present study was conducted using the scientometric method and Altmetrics approach. The study population consisted of 100 faculty members affiliated with the top ten academic centers according to the Times Higher Education World University Rankings 2020 in the field of computer sciences at least with degree of associate professor, who were selected by stratified random sampling. Data were analyzed using SPSS 22.

More than half of the population (100 faculty members) had no presence on the RG network. For 47 registered individuals, no significant relationship was found between the five indicators on RG of "RG score", "Citations", "Research Interest", "Research Items" and "Followers" with "Times Ranking" (P-Value> 0.05 in all of five). There was a significant relationship between the "reads" indicator and "Times ranking" in the form of mean inverse correlation (P-value = 0.04, Spearman correlation coefficient= -0.6).

The Timeschr('39') top international computer science researchers with the degrees of associate professor and higher had no more active presence on the RG network. In addition, no significant correlation was observed between "Times Rank" and RG indicators in their activities, except for the "reads".

Cyberchondria can be considered one of the emerging challenges in the age of the Internet. The aim of this study was to to investigate the scientific productivity and analyze the collaboration network of authors in the cyberchondria field in the Web of Science (WoS).

To conduct this research, scientometric, altmetrics and social network analysis indicators were utilized. All scientific output related to the topic of cyberchondria indexed in the Web of Science until the collection of research data in June 2020 constituted the study materials. The Web of Science and Altmetric Explorer were used for data gathering. Moreover, UCINet and VOSviewer software was used for the visualization and analysis of scientific collaboration networks.

The majority of the papers (80%) were published in 2015-2020. 42.2% of total production was in 2019-2020. Journal of Anxiety Disorder has published the largest number of papers (10%). Most scientific productions in this field are related to the subject areas of psychiatry and psychology. Fifty-one papers out of the 79 papers with unique DOIs published in this field were mentioned at least once in social media platforms. 81.1% of the papers were multiple-authored.

Although the number of papers in the cyberchondria field in the Web of Science was low, its trend is increasing. Investigating the collaboration network of researchers showed that they tended to participate in groups.

Altmetrics (Alternative Indicators) are indicators which can be exploited alongside traditional scientometrics concepts based on citation analysis to examine the impact of scientific products on the Web 2 environment. The purpose of this study was to investigate the prevalence of international articles in the field of medical informatics and health information management in social media and to determine the researchers' use of these media and identify top articles based on Altmetrics scores.

The present study was conducted with a scientometrics approach, using Altmetric indicators. The research population is 64 journals in the field of health information management, medical informatics indexed at the SJR (Sciemgo) and Scopus databases. All the necessary information about the journals and articles, such as the name of the journal, the name of the article, the altimetric score, etc. was obtained by referring to Altmetric.com. Spearman correlation test was used to analyze the data.

Mendeley, Twitter, and Facebook, were among the social media that received the most mentions. The findings indicated that there was a significant relationship between altmetrics coverage (presence in social web environment) and three quality performances Indices (SJR, Snipe and the Site Score). The correlation coefficients obtained for these three indices were, 0.401, 0.248 and 0.285, respectively.

Social media can have a positive effect on the citation rate of scientific articles. Therefore, researchers in the field of medical informatics and health information management can increase the number of citations by sharing their works on social media. Due to the lack of strong correlation in this study, altmetrics can be used to complement scientometrics indices, but not as a alternative to evaluating scientific research.

Due to the capabilities of alternative metrics and their speed in evaluating scientific outputs, and the importance of social media in establishment of scholarly communication and findings’ dissemination, the aim of this study was to investigate the use of social media by health literacy researchers, and to identify top articles based on altmetric score and the association between altmetrics and citation indicators.
The current descriptive research was conducted through scientometrics method and using altmetrics data. The study population consisted of health literacy articles that were published in year 2015, had digital object identifier (DOI), and were indexed in Web of Science. The initial number of retrieved articles was 649 papers. Since the digital object identifiers was required in altometric studies and the use of data from the Altmetric Institute, the documents that did not have the identifier were removed and thus the research population was reduced to 615 record. To collect alternative indicators, each individual article was matched by altmetric.com manually. Spearman correlation was used for analyzing the data.
Mendeley and Twitter were the most used social media by health literacy scholars for sharing scientific outputs, ranked first and second by number of 492 and 487 articles respectively. The results revealed statistically significant relationship between most alternative metrics and the number of citations in Web of Science. From the reviewed articles, Iranian researchers wrote 9 articles on health literacy. Of these, 6 had a digital object identifiers. After searching on the altmetric site, it became clear that these six articles have been used in Mendeley's social media and Twitter compared to more than other social media and had 134 readers in Mendeley and 64 tweets in Twitter respectively.
Social media can have a positive impact on the citation rate of articles. Therefore, health literacy researchers can make use of social media in order to better inform peers on the Internet and increase the citation to their scientific productions. For this purpose, they could share their work in various social media.

Introduction & Altmetrics studies could be done through the databases contents of LinkedIn, ResearchGate, Mendeley, Academia, uLike, and Impact Story. Since indexed documents’ printing in citation centers and then receiving them is time taking and in some spheres it takes years for a document to receive a citation, Scientometrics studies are time-dependent. Actually, time-dependency is less in Altmetrics and the performance and effectiveness of both researchers and their papers could be investigated based on this factor.
This is a Survey method that has been done through Altmetrics and with the help of Scientometrics. Firstly, data gathering has been done with the use of ISI database about researchers of surgery sphere. Subsequently, it has been investigated through analytical engine and then, the number of authors and documents have been gathered. After that, the name of researchers along with their official IDs in ResearchGate have been investigated and some factors like the number of documents, the Reads, full-text papers, the Followers, the Followings, and gathered data have been mined and with the help of SPSS software version 20, they have been analyzed.
Findings show that among the studied cases which are 327 out of 2062 in ISI, more than 86% could be fined in ResearchGate. Other findings show that there is a significant relationship between the publications in ResearchGate and the number of citations. Also other findings show that researchers whom papers are put in ResearchGate could receive more citations. Some findings show there is a significant relationship between being in ResearchGate scientific network and the number of citations in ISI. Besides, there is a significant relationship between the number researchers’ citations and the number of the Followers and the Followings. All in all, it offers that due to the findings of this study researchers from all spheres be in ResearchGate scientific network so that in addition to scientific cooperation, could heighten the number of scientific citations of our country.
Conclusions show that a low percent of researchers (nearly 14%) are not a member ResearchGate. These researchers should be aware that these kinds of networks have been formulated to accelerate the scientific relationships between people, creation process, and dissemination of knowledge. Reasons like asking for help from other researchers, hidden and obvious sharing of knowledge, the increase of research interests, job opportunities awareness, and groups’ possibility of discussions could be the notions to researchers’ preferences to the use of social medias.

Due to the capabilities of alternative metrics and their speed in evaluating scientific outputs, and the importance of social media in establishment of scholarly communication and findings’ dissemination, the aim of this study was to investigate the use of social media by medical informatics researchers, and identify top articles based on altmetric score and the association between altmetrics and citation indicators.
The current descriptive research was conducted through scientometrics method and using altmetrics data. The study population consisted of medical informatics articles which were published in 2014 in four core journals, had digital object identifier (DOI), and were indexed in Web of Science. To collect alternative indicators, each individual article was matched by altmetric.com manually. Spearman correlation was used for analyzing data.
Mendeley, Twitter, Facebook, CiteULike, Blog, News Outlet, and Google Plus were the most used social media by medical informatics scholars for sharing scientific outputs. The results revealed statistically significant relations between most alternative metrics and the number of citations in Web of Science.
Social media can have a positive impact on the citation rate of articles. Therefore, medical informatics researchers can make use of social media in order to better search information on the internet and increase the citation to their scientific productions. For this purpose, they share their work in various social media.