جستجوی مقالات مرتبط با کلیدواژه « ریسرچ گیت » در نشریات گروه « پزشکی »

The present research has investigated the presence and activity of Iranian authors of cardiac surgery field in Scopus and Web of Science databases. The purpose of this research is to identify the relationship between altmetrics scores in the ResearchGate social network and scientific metrics of Scopus and Web of Science databases.

This research is an applied research that has been carried out bysurvey-descriptive method. Scientific method has been used in this research. The research period is from 2010 to 2019. The number of these authors was 147. Due to the small number of the statistical population, sampling was not used and all authors were reviewed. Data collection tools were observation and file extraction of data obtained from Scopus database. In order to analyze the data, Pearson correlation tests and multiple linear regressions were used in Excel and SPSS software.

The results showed that in a period of ten years (2010-2019), 485 documents in the field of heart surgery were indexed by Iranian authors in the Scopus database. The studied documents are mostly articles. The language of most documents is English. A survey of Iranian authors of cardiac surgery in the Scopus database identified 147 people. Among the most prolific authors in the field of cardiac surgery, Fereydoun Sabzi with 26 articles has the highest number of indexed articles ever. The highest score of h-index in Scopus database (29) is related to Heidar Ali Talebi. The highest score of h-index in web of Science (31) is related to Mohammad Mahdavi, and the highest score of RG index in ResearchGate (47.79) is related to Alireza Abdi.

In this study, it was found that there is a significant relationship between citation indices, readers, followers, publications, and RJ score in ResearchGate social network with the indexes of publications, citations, h-index and co-authorship in Scopus. On the other hand, there is no significant relationship between the interest score and followers in ResearchGate with the publishing indexes, citations, h-index and co-authorship in Scopus. In this research, it was found that the significance value of the variables of readers, followers, followers, and RJ score in ResearchGate is greater than 0.05. Therefore, these variables are ineffective in changing the number of citations received in Scopus.

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.

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".

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.

The importance of social networking sites (SNSs) is evident as a tool for research team working and for enabling researchers to share the results and experiences. The present study aims to identify the features of SRNs for facilitating research practices from the perspective of medical sciences researchers and to study the reasons why they use these networks. This was a qualitative research that employed content analysis approach. The participants were 10 medical researchers who were active in ResearchGATE, and were selected through purposeful sampling. The selection criterion was their scores in ResearchGATE (RG). RG scores are allotted based on publications, questions, answers and followers. The data were gathered using semi-structured interviews, and then were thematized and presented in the form of a list; the list of SRN's most important features for the field of medical sciences. The findings of data analysis revealed eight features for SRNs: presenting themselves and identifying other researchers, communicating and collaborating with other researchers, sharing information, finding information, managing resources and citations, keeping the researcher up to date, rating, and setting the network. Due to the importance and role of SRNs in communication and collaboration between researchers and their scientific production management, introduction of features identified in this study can enhance these SNS's efficiency and effectiveness. Information science professionals can use the findings of this research to design educational workshops on "Familiarity with the features of SNSs for researchers" as a new information service in libraries.