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The purpose of this paper is to carry out an altmetric analysis of faculty members and research scholars of Department of Physics and Astrophysics, University of Delhi (India) (Univ.Delhi P&A) who are members of the academic social networking site ResearchGate. ReserachGate is a rich source of altmetric indictors such as publications, reads, profile views, citations, impact points, RGScore, followers and following, etc. The RGScore, unique to ResearchGate, was further explored in depth in the study.

The data were collected manually by visiting the profile pages of all the members who had an account in ResearchGate under Univ.Delhi P&A during the first week of July, 2016. The authors found a total of 173 members in ResearchGate from the department. Data were collected for publications, reads, profile views, citations, impact points, RGScore, followers and following from the profile pages of the members. Correlations were calculated amongst the metrics provided by ResearchGate to seek the nature of the relationship amongst the various ResearchGate metrics.

The analysis revealed that the publications added by researchers to their profiles were relatively low, as 28.32 per cent of the members had not added even a single publication to their profiles. Average reads acquired per person was found to be 909.49 and the median value of reads was found to be 95. Average citation per member in ResearchGate was found to be 414.60 and the median value was found to be 7. Majority of the researchers (45.09 per cent) had impact points in the range of 0.2-50. Most of the members (35.84 per cent) had followers in the range of 1-10. Majority of the members (52.02 per cent) had profile views in the range of 1-100. Most of the members (26.01 per cent) had RGScore equivalent to 0.01. The highest correlation of RGScore was found with publications added by researchers to their profiles, followed by correlation between RGScore and reads, correlation between RGscore and profile views, correlation between RGScore and number of Full Texts and correlation between RGScore and number of followers of a researcher.

Not much research has been conducted in the area of altmetrics, especially using ResearchGate as a source of altmetrics. The findings of the study help in understanding the validity of ResearchGate as a source of altmetrics for research evaluation in a developing country such as India. Also, the novel ResearchGate indicator RGScore has been evaluated in great depth and its relationship with other ResearchGate altmetric and bibliometric indicators has been established.

The purpose of this paper is to identify the triggers, strategies and outcomes of collaborative information-seeking behaviours of researchers on the ResearchGate social networking site.

Data were collected from the population of researchers who use ResearchGate. The sample was limited to the Ph.D. students and assistant professors in the library and information science domain. Qualitative interviews were used for data collection.

Based on the findings of the study, informal communications and complex information needs lead to a decision to use collaborative information-seeking behaviour. Also, easy access to sources of information and finding relevant information were the major positive factors contributing to collaborative information-seeking behaviour of the ResearchGate users. Users moved from collaborative Q&A strategies to sharing information, synthesising information and networking strategies based on their needs. Analysis of information-seeking behaviour showed that ResearchGate users bridged the information gap by internalizing new knowledge, making collaborative decisions and increasing their work's visibility.

As one of the initial studies on the collaborative information-seeking behaviour of ResearchGate users, this study provides a holistic picture of different triggers that affect researchers' information-seeking on ResearchGate.

The purpose of this paper is to investigate how attitudinal, normative and control beliefs influence scientists’ article sharing through ResearchGate.

A survey method was employed to examine a research model of scientists’ article sharing through ResearchGate. A total of 264 survey responses from biological scientists in the USA were used to evaluate the research model by using partial least square based structural equation modeling.

The results showed that scientists’ attitudinal beliefs (i.e. perceived relationship, reputation and risk), normative beliefs (i.e. subjective norm, perceived academic culture and community norm of article sharing) and control belief (i.e. perceived ease of use) all significantly affect their attitudes toward article sharing and article sharing intentions through ResearchGate.

The theory of planned behavior (TPB) was used to develop the research model, and the specific research constructs from prior literature were incorporated in the model. The TPB and related research constructs nicely explained biological scientists’ article sharing through ResearchGate.

This study suggests that academic libraries can better promote their scientists’ article sharing through digital platforms such as institutional repositories as well as scholarly social media. This can be achieved by emphasizing its benefits, including potential relationships or collaborations, positive academic reputation and community norms of article sharing, and by decreasing scientists’ concerns about copyright infringements and effort expectancy involved in article sharing.

As one of the initial studies in scientists’ article sharing through ResearchGate, this study provides a holistic picture of how attitudinal, normative and control beliefs all affect scientists’ article sharing through ResearchGate.

The main purpose of this study is to explore and validate the question “whether altmetric mentions can predict citations to scholarly articles”. The paper attempts to explore the nature and degree of correlation between altmetrics (from ResearchGate and three social media platforms) and citations.

A large size data sample of scholarly articles published from India for the year 2016 is obtained from the Web of Science database and the corresponding altmetric data are obtained from ResearchGate and three social media platforms (Twitter, Facebook and blog through Altmetric.com aggregator). Correlations are computed between early altmetric mentions and later citation counts, for data grouped in different disciplinary groups.

Results show that the correlation between altmetric mentions and citation counts are positive, but weak. Correlations are relatively higher in the case of data from ResearchGate as compared to the data from the three social media platforms. Further, significant disciplinary differences are observed in the degree of correlations between altmetrics and citations.

The results support the idea that altmetrics do not necessarily reflect the same kind of impact as citations. However, articles that get higher altmetric attention early may actually have a slight citation advantage. Further, altmetrics from academic social networks like ResearchGate are more correlated with citations, as compared to social media platforms.

The paper has novelty in two respects. First, it takes altmetric data for a window of about 1–1.5 years after the article publication and citation counts for a longer citation window of about 3–4 years after the publication of article. Second, it is one of the first studies to analyze data from the ResearchGate platform, a popular academic social network, to understand the type and degree of correlations.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2019-0364

The purpose of this paper is to compare four popular academic social networking sites (ASNSs), namely, ResearchGate, Academia.edu, Mendeley and Zotero.

Evaluation method has been used with the help of checklist covering various features of ASNSs. A structured checklist has been prepared to compare four popular ASNSs, comprising 198 dichotomous questions divided into 12 broad categories.

The study found that performance of ASNSs using the latest features and services is not up to the mark, and none of the site is rated as “Excellent”. The sites lack in incorporation of session filters; output features; privacy settings and text display; and search and browsing fields. Availability of bibilographic features and general features is poor in these sites. Further, altmetrics and analytics features are not incorporated properly. User interface of the sites need to improve to draw researchers to use them. The study report reveals that ResearchGate scored the highest, 61.1 per cent points, and was ranked “above average”, followed by Academia.edu with 48.0 per cent and Mendeley with 43.9 per cent are ranked “average”. However, the Zotero (38.9 per cent) was ranked “below average”.

Accreditation agencies can identify suitable sites in the evaluation of institutions’ research output. Further, students and faculty members can choose the site suiting their needs. Library and information science professionals can use the checklist to impart training to the academic community which can help fostering research and development activities.

The study identifies features that ought to be available in a model ASNS. These features are categorized into 12 broad categories. The findings can also be used by developers of the sites to enhance functionalities. Institutions can choose suitable sites while collaborating with other institutions.

The purpose of this paper is to draw on social capital theory to develop a model to explain the determinants of a supply chain management scholar’s academic research impact.

Drawing from a database of 450 supply chain management scholars in different countries collected from ResearchGate and the World Bank, the bootstrapping method was applied on the moderated mediation analysis.

Analysis of the mediating role of a scholar’s social capital suggests that social capital theory has a strong explanatory power on the relationship between a scholar’s research skill and academic impact. To account for the boundary effect at the country-level, the authors further examine if this mechanism differs by country in the supply chain management research context.

The findings from this study are from a single research area, which limits the generalizability of the study. Although the data are collected from different sources, including ResearchGate and the World Bank, it is cross-sectional in nature. The variables in this model do not have strong causal relationships.

The results suggest that supply chain management scholars can reap the benefits of their social capital. Specifically, scholars can enhance their academic impact by increasing their social capital.

The results provide a reference for supply chain management scholars keen on enhancing their academic research impact. It also provides a reference to explain why country-level differences can influence these scholars.

Although current research has investigated how open research data (ORD) are published, researchers' behaviour of ORD sharing on academic social networks (ASNs) remains insufficiently explored. The purpose of this study is to investigate the connections between ORDs publication and social activity to uncover data literacy gaps.

This work investigates whether the ORDs publication leads to social activity around the ORDs and their linked published articles to uncover data literacy needs. The social activity was characterised as reads and citations, over the basis of a non-invasive approach supporting this preliminary study. The eventual associations between the social activity and the researchers' profile (scientific domain, gender, region, professional position, reputation) and the quality of the ORD published were investigated to complete this picture. A random sample of ORD items extracted from ResearchGate (752 ORDs) was analysed using quantitative techniques, including descriptive statistics, logistic regression and K-means cluster analysis.

The results highlight three main phenomena: (1) Globally, there is still an underdeveloped social activity around self-archived ORDs in ResearchGate, in terms of reads and citations, regardless of the published ORDs quality; (2) disentangling the moderating effects over social activity around ORD spots traditional dynamics within the “innovative” practice of engaging with data practices; (3) a somewhat similar situation of ResearchGate as ASN to other data platforms and repositories, in terms of social activity around ORD, was detected.

Although the data were collected within a narrow period, the random data collection ensures a representative picture of researchers' practices.

As per the implications, the study sheds light on data literacy requirements to promote social activity around ORD in the context of open science as a desirable frontier of practice.

Researchers data literacy across digital systems is still little understood. Although there are many policies and technological infrastructure providing support, the researchers do not make an in-depth use of them.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2021-0255.

The purpose of the study is to investigate the extent to which academic librarians in African universities know and use self-archiving options to make their papers visible globally.

An online survey was designed using SurveyMonkey software to collect data from 455 academic librarians working in 52 universities in Africa.

The study revealed that the academic librarians in Africa are aware of ResearchGate, institutional repository, personal website/server, kudos and Mendeley and they actually upload papers to self-archiving platforms such as institutional repository, ResearchGate, academia.edu and personal websites/servers. Factors such as increased exposure of one’s previously published work, provides exposure for works not previously published (e.g. seminar papers), broadens the dissemination of academic research generally and increases one’s institutions’ visibility were among the options the academic librarians rated as very important factors that motivate them to submit their scholarly output to the self-archiving options. It was also found that majority of the academic librarians in Africa checked the publishers’ website for copyright policy compliance before submitting their papers to the platform.

The study called for academic librarians in developing countries to voluntarily sign-up to register with self-archiving options such as ResearchGate, kudos, Mendeley.com, academia.edu and others to enable them self-archive their published papers for access globally by students, researchers, etc.

The findings of this study will add to the body of knowledge by bringing to light the extent of awareness and use of self-archiving options by academic librarians in universities in Africa.

The use of recommender systems is increasing on academic social media (ASM). However, distinguishing the elements that may be influenced and/or exert influence over content that is read and disseminated by researchers is difficult due to the opacity of the algorithms that filter information on ASM. In this article, the purpose of this paper is to investigate how algorithmic mediation through recommender systems in ResearchGate may uphold biases in scholarly communication.

The authors used a multi-method walkthrough approach including a patent analysis, an interface analysis and an inspection of the web page code.

The findings reveal how audience influences on the recommendations and demonstrate in practice the mutual shaping of the different elements interplaying within the platform (artefact, practices and arrangements). The authors show evidence of the mechanisms of selection, prioritization, datafication and profiling. The authors also substantiate how the algorithm reinforces the reputation of eminent researchers (a phenomenon called the Matthew effect). As part of defining a future agenda, we discuss the need for serendipity and algorithmic transparency.

Algorithms change constantly and are protected by commercial secrecy. Hence, this study was limited to the information that was accessible within a particular period. At the time of publication, the platform, its logic and its effects on the interface may have changed. Future studies might investigate other ASM using the same approach to distinguish potential patterns among platforms.

Contributes to reflect on algorithmic mediation and biases in scholarly communication potentially afforded by recommender algorithms. To the best of our knowledge, this is the first empirical study on automated mediation and biases in ASM.

This paper aims to explore the usage of academic social networking sites (ASNSs) among the research scholars in Central Universities of Delhi, India.

A structured questionnaire was designed and personally distributed among 200 research scholars in Central Universities in Delhi in May 2016. Of this, 180 filled-in questionnaires were personally collected by the investigator, eliciting a response rate of 90 per cent.

Findings of the study reveals that research scholars have knowledge of ASNSs. ResearchGate and Academia are the most used ASNSs among research scholars. ResearchGate is used the most for connecting to other research scholars, and Academia is used for sharing and following research. Additionally, ASNSs help research scholars in research and learning and to share research ideas and experience. Finally, research scholars find ASNSs time-consuming and have cited data security as main concern for using academic social networks.

The findings of the study show that potential uses of ASNSs in Indian libraries are slow compared to the libraries of developed countries and some of the developing countries. It is suggested that universities under study may realize the benefits of ASNSs and incorporate these tools in their websites to enhance faster transfer and retrieval of information.

The results also stress upon the responsibility of research supervisors to accord knowledge of ASNSs among research scholars and encourage them to join and use ASNSs efficiently and effectively for building professional connections and collaborations in their research area.

The study is significant because it represents one of the earliest works to shed the light on the current level of use of SNSs and ASNSs by research scholars in Central Universities in Delhi, which are in primitive nature. They provide space for self-expression, research updates, expert advice, connecting with fellow scholars, creating and joining events and discussions, presenting their views on a particular topic, finding collaboration on projects, finding jobs and much more.

ASNSs have further promoted the open source movement. The paper apprises the academic stakeholders about the unique features, adoption, acceptability and usage of ASNSs for research work, exchange of information and collaborations, so that more productive and quality research is produced. The findings will also guide research scholars to find popular ASNSs, so that they can build more academic connections.