Does openness of articles get higher attention in altmetric? An investigation of medical discipline | Emerald Insight

Abstract:  Purpose

This paper aimed to explore the presence of altmetric data across the sub-categories of the medical science discipline and also explore whether the openness of articles results in (dis)advantage for altmetrics mentions.

Design/methodology/approach

The research implies data carpentry methods for gathering bibliographic data related to narrow fields of medical science discipline from the Scopus database with at least one Indian author affiliation during 2012–2021. The corresponding data were also collected from three different sources: Altmetric.com, Mendeley.com and Unpaywall.org, using OpenRefine and REST/API calls. Further, the authors observed open access altmetric advantages (OAAA) and categorical OAAA (COAAA) across seven altmetric platforms for all articles as well as discipline-wise.

Findings

The result shows that the overall coverage of altmetric events is still low, but it shows an increasing trend from the past. Mendeley has the largest coverage; almost 97.12% of publications are covered. The health policy discipline has extensive coverage across altmetric platforms (nearly 57.40% of publications in altmetrics and 99.23% in Mendeley), whereas the drug guides has the lowest (almost 0.92% in Altmetrics and 77.05% in Mendeley). Moreover, the OA articles have been highly covered in altmetrics than those of non-OA articles, and bronze OA articles covered mostly compared to others. News registered with the significant OA altmetric advantages across disciplines. Categorically, bronze and hybrid OA have the largest altmetric advantages.

Originality/value

This research is a unique attempt to apply OAAA and COAAA to explore OA altmetric advantages of narrow subject categories of medical science disciplines.

Using Altmetric Data Responsibly: A Guide to Interpretation and Good Practice

Abstract:  This guide focuses specifically on data from the data provider and company, Altmetric, but other types of altmetrics are mentioned and occasionally used as a comparison in this guide, such as the Open Syllabus database to find the educational engagement with scholarly outputs. This guide opens with an introduction followed by an overview of Altmetric and the Altmetric Attention Score, Altmetrics and Responsible Research Assessment, Output Types Tracked by Altmetric, and the Altmetric Sources of Attention, which include: News and Mainstream Media, Social Media (X (formerly Twitter), Facebook, Reddit, and historical data from Google+, Pinterest, LinkedIn, and Sina Weibo); Patents, Peer Review, Syllabi (historical data only), Multimedia, Public Policy Documents, Wikipedia, Research Highlights, Reference Managers, and Blogs; finally, there is a conclusion, a list of related resources and readings, two appendices, and references. This guide is intended for use by librarians, practitioners, funders, and other users of Altmetric data or those who are interested in incorporating altmetrics into their bibliometric practice and/or research analytics. It can also help researchers who are going up for annual evaluations and promotion and tenure reviews, who can use the data in informed and practical applications. It can also be a useful reference guide for research managers and university administrators who want to understand the broader online engagement with research publications beyond traditional scholarly citations, also known as bibliometrics, but who also want to avoid misusing, misinterpreting, or abusing Altmetric data when making decisions, creating policies, and evaluating faculty members and researchers at their institutions.

The Value of Articles Published in Journals Focused on the Scholarship of Teaching and Learning: A Use of Citations and Altmetrics as Indicators of Value | SpringerLink

Abstract:  The value of articles published in journals devoted to the scholarship of teaching and learning constitutes a relatively unexplored topic of inquiry within the broader field of inquiry on the scholarship of teaching and learning. This article addresses this topic using citations and four types of altmetrics as indicators of value. We used a sample of 100 articles published in four SOTL focused journals: two high consensus journals (BioScience: Journal of College Biology Teaching and The Journal of Chemical Education) and two low consensus journals (Teaching History and Teaching Sociology). In addition to the level of consensus of the discipline of these journals, we also measured the institutional type of the first authors of these articles and the type of study of the article. We advanced three conclusions from our data analysis with the first one being of particular significance to SOTL work. This conclusion is that the pattern of findings of this study cry out fairly loudly that articles published in SOTL-focused journals hold value to users of the articles as expressed through citations of them, as well as mentions of them through various altmetrics. Moreover the similar magnitudes of this value transpires regardless of the institutional type of the article’s first author and whether the article recommended a practice or recommended content. However, the value ascribed to articles differ according to the level of consensus of the field of the SOTL journal, which show a difference in article views, Twitter mentions and Mendeley uses.

Controlled experiment finds no detectable citation bump from Twitter promotion | bioRxiv

Abstract:  Multiple studies across a variety of scientific disciplines have shown that the number of times that a paper is shared on Twitter (now called X) is correlated with the number of citations that paper receives. However, these studies were not designed to answer whether tweeting about scientific papers causes an increase in citations, or whether they were simply highlighting that some papers have higher relevance, importance or quality and are therefore both tweeted about more and cited more. The authors of this study are leading science communicators on Twitter from several life science disciplines, with substantially higher follower counts than the average scientist, making us uniquely placed to address this question. We conducted a three-year-long controlled experiment, randomly selecting five articles published in the same month and journal, and randomly tweeting one while retaining the others as controls. This process was repeated for 10 articles from each of 11 journals, recording Altmetric scores, number of tweets, and citation counts before and after tweeting. Randomization tests revealed that tweeted articles were downloaded 2.6–3.9 times more often than controls immediately after tweeting, and retained significantly higher Altmetric scores (+81%) and number of tweets (+105%) three years after tweeting. However, while some tweeted papers were cited more than their respective control papers published in the same journal and month, the overall increase in citation counts after three years (+7% for Web of Science and +12% for Google Scholar) was not statistically significant (p > 0.15). Therefore while discussing science on social media has many professional and societal benefits (and has been a lot of fun), increasing the citation rate of a scientist’s papers is likely not among them.

 

Identification and Portraits of Open Access Journals Based on Open Impact Metrics Extracted from Social Activities | Journal of Scholarly Publishing

Abstract:  This article focuses on open impact metrics extracted from social media activities that demonstrate the identification and portraits of open access journals based on these alternative forms of open impact metrics. The research sample consists of open access journals from Scopus, with open impact metrics retrieved from Altmetric.com. The open impact metrics extracted from social activities established that an evaluation system based on altmetrics can better reflect the portraits of open access journals than traditional citation-based metrics. This study finds that open access journals strengthen international academic communication and cooperation, build cross-border and cross-regional knowledge-sharing projects, realize the knowledge of interdisciplinary sharing and exchange, and, most importantly, provide a one-stop service for readers. This research indicates that through the use of open impact metrics, it is possible to identify the portraits of open access journals, thus providing a new method to construct and reform open access journal evaluation systems.

 

An Open Access Strategy for the Drug Repurposing Community – Drug Repurposing Central

Abstract:  To ensure the widest possible dissemination of research results to the academic community, pharmaceutical industry, patients and to the broader public, the EU-funded drug repurposing project REPO4EU is committed to an Open Science approach. Because Open Science can be interpreted widely, this document lays out the strategy of the project with regard to Open Access publishing, alternative metrics, intellectual property and FAIR data, in line with the goals of the European Commission. The Open Science Strategy forms the theoretical framework for the REPO4EU Open Science publishing portal that will develop into an open hub of research results and communication for the entire drug repurposing community.

 

Altmetrics and Extending the Reach of Scholarly Content | JWHPT Social Media Engagement, Part 2 – APTA Pelvic Health

“By nature, social media provides a platform for easily consumable and accessible information. Consider looking back to Part One of the JWHPT Social Media Engagement Series in which we discuss The Value of Social Media for Professional Engagement. Value aside, it is important to delineate if scholarly information is clinically relevant. How can we know which information is impactful to those in the field? It is imperative that there is a way to understand the value and magnitude of online evidenced based content in a real-time manner. 

The purpose of this post is to shed light on the concept of altmetrics and its implications. Through understanding altmetrics, researchers and consumers will better understand how to extend the reach of scholarly content.”

Open Access Advantages as a Function of the Discipline: Mixed-methods Study – ScienceDirect

Abstract:  Purpose

This mixed-methods study integrates bibliometric and altmetric investigation with a qualitative method in order to assess the prevalence and societal-impact of Open-Access (OA) publications, and to reveal the considerations behind researchers’ decision to publish articles in closed and open-access.

Design/methodology/approach

The bibliometric-altmetric study analyzed 584 OA and closed publications published between 2014 and 2019 by 40 Israeli researchers: 20 from STEM (Science, Technology, Engineering, Math) and 20 from SSH (Social Sciences and Humanities) discipline. We used a multistage cluster sampling method to select a representative sample for the STEM disciplines group (engineering, computer science, biology, mathematics, and physics), and for the SSH disciplines group (sociology, economics, psychology, political science, and history). Required data were extracted from Scopus and Unpaywall databases, and the PlumX-platform. Among the 40 researchers who were selected for the bibliometric-altmetric study, 20 researchers agreed to be interviewed for this study.

Findings

Comparing bibliometrics and altmetrics for the general publications did not reveal any significant differences between OA and closed publications. These were found only when comparing OA and closed publications across disciplines. STEM-researchers published 59 % of their publications in OA, compared to just 29 % among those in SSH, and they received significantly more bibliometric and altmetric citations from SSH OA publications and from their own closed-access publications. The altmetrics findings indicate that researchers are well acquainted and active in social media. However, according to the interviewees, there is no academic contribution for sharing research findings on social-media; it is viewed as a “public-service”. Researchers’ primary consideration for publishing in closed or OA was the journal impact-factor.

Research limitations/implications

Our findings contribute to the increasing body of research that addresses OA citations and societal-impact advantages. The findings suggest the need to adopt an OA-policy after a thorough assessment of the consequences for SSH disciplines.

Open Access Publication in Total Knee Arthroplasty is Associated with Increased Social Media Attention, but is not Associated with Increased Citations – The Journal of Arthroplasty

Abstract:  Background

Open access (OA) publication is growing in total joint arthroplasty literature. While OA manuscripts are free to view, these publications require a fee from authors. This study aimed to compare social media attention and citation rates between OA and non-OA publications in the total knee arthroplasty (TKA) literature.

Methods

There were 9,606 publications included, with 4,669 (48.61%) as OA articles. The TKA articles were identified from 2016 to 2022 using a national database. Articles were grouped as OA or non-OA and Altmetric Attention Score (AAS), a weighted count of social media attention, and the Mendeley readership were analyzed using negative binomial regressions while adjusting for days since publication. Independent t-tests were utilized to compare means scores between OA vs. non-OA groups.

Results

The OA articles had greater mean AAS (13.45 vs. 8.42, P = 0.012) and Mendeley readership (43.91 vs. 36.72, P < 0.001). OA was not an independent predictor of number of citations when compared to non- OA articles (13.98 vs. 13.63, P = 0.914). Subgroup analysis of studies in top-10 arthroplasty journals showed OA was not an independent predictor of AAS (13.51 vs. 9.53, P = 0.084) or number of citations (19.51 vs. 18.74, P = 0.495), but was an independent predictor of Mendeley readership (49.05 vs. 40.25, P < 0.003).

Conclusion

The OA publications in the TKA literature were associated with increased social media attention, but not overall citations. This association was not observed among the top 10 journals. Authors may utilize these results to weigh the relative importance of readership, citations, and online engagement to the cost of OA publication.

Article-level metrics: A new approach to quantify reach and impact of published research – ScienceDirect

Abstract:  A spectrum of measuring tools are available to evaluate the impact of published literature and the journals they are published in. Journal Level Metrics (JLM) such as Journal Impact Factor (JIF) or CiteScore assess the reputation of peer-reviewed journals based on citation analysis. Whereas, Article Level Metrics (ALM) quantify the importance, reach and impact of a particular article, and are a new approach to quantifying the reach and impact of published research. Traditionally JLM has served as a proxy for an individual publication’s significance, however, the introduction of contemporary and evolution of Alternative metrics measuring digital or societal influence of a particular article has gained popularity in recent times. These metrics help in rapid dissemination of research, development of newer research strategies and individual academic progress. We highlight the characteristics and importance of currently available ALM, and the newer ones influenced by social media, digital media and Open Access publishing models.

 

 

 

Altmetrics analysis of selected articles in the field of social sciences | Emerald Insight

Abstract:  Purpose

This study aims to measure the impact of the selected papers in the field of social sciences indexed in Scopus using altmetrics tools.

Design/methodology/approach

The research community consists of the articles of the Iranian researchers in the field of social sciences indexed in the Scopus database in 2014–2018. Some of the most important altmetric service providers have been used to assess the presence of the research outputs in the social media and their impact assessment. Also, the relationship between variables such as scientific collaboration of researchers, open access journals and the quality of research journals with altmetric activity have been investigated through appropriate correlation tests.

Findings

The findings indicated that the most important social media publishing Iranian articles are Mendeley, Twitter and Facebook. The results of the correlation test showed a statistically significant positive and weak relationship between the scientific collaboration of researchers and their altmetric activity. Also, there is a significant and weak statistical relation between journal openness and the altmetric scores. In this study, the findings suggest that the published articles in the journals with higher quality indicators have higher altmetric scores and are more likely to be present in social media.

Research implications

In this study, the social network indicators have been introduced as a solution to examine the effectiveness of research activities on social media. These indicators can be used to evaluate the impact and usefulness of the articles and other scientific outputs with the aim of completing and eliminating the shortcomings of traditional scientometrics indicators. What distinguishes altmetric criteria from other criteria related to the scientometric studies is the speed, ease and transparency of these scales. This allows the publications to be evaluated regardless of their formal form and in the shortest possible time, and in addition to the scientific impact, the social impact of the works is also measured.

Originality/value

The results of these studies show that using altmetric service providers not only reflects the social impact of publications on authors in different subject areas but also helps libraries, universities, research organizations and politicians in planning, budgeting and allocating resources.

Altmetrics and their relationship with citation counts: a case of journal articles in physics | Emerald Insight

Abstract:  Purpose

The first purpose of the present study is to investigate the coverage of journal articles in Physics in various sources of altmetrics. Secondly, the study investigates the relationship between altmetrics and citations. Finally, the study also investigates whether the relationship between citations and altmetrics was stronger or weaker for those articles that had been mentioned at least once in the sources of altmetrics.

Design/methodology/approach

The journal articles in Physics having at least one author from an Indian Institution and published during 2014–2018 in sources of altmetrics have been investigated. Altmetric.com was used for collecting altmetrics data. Spearman’s rank correlation coefficient (?) has been used as the data found to be skewed.

Findings

The highest coverage was found on Twitter (22.68%), followed by Facebook (3.62%) and blogs (2.18%). The coverage in the rest of the sources was less than 1%. The average Twitter mentions for journal articles tweeted at least once was found to be 4 (3.99) and for Facebook mentions, it was found to be 1.48. Correlations between Twitter mentions–citations and Facebook mentions–citation were found to be statistically significant but low to weak positive.

Research limitations/implications

The study concludes that due to the low coverage of journal articles, altmetrics should be used cautiously for research evaluation keeping in mind the disciplinary differences. The study also suggests that altmetrics can function as complementary to citation-based metrics.

Originality/value

The study is one of the first large scale altmetrics studies dealing with research in Physics. Also, Indian research has not been attended to in the altmetrics literature and the present study shall fill that void.

How can altmetrics improve the Public Communication of Science and Technology? An analysis on universities and altmetrics

Abstract:  In current research evaluation models, monitoring and impact evaluation are extended beyond peer-reviewed articles to include Public Communication of Science and Technology activities. Through an online survey, we analyzed the perceptions of relevance and degree of application of the altmetric indicators for the PCST of 51 sampled Brazilian federal universities. Perceptions of relevance and application of altmetrics proved to be an outlier in 26 indicators. 66.7% of respondents said they did not know the relevance of altmetrics for the PCST or considered it not applicable to the field. Regarding the perception of relevance, the indicator “Mentions tracked by altmetrics” received high relevance scores (7 and 9) from 21.5% of respondents. The indicator was also the least applied, with only one university (1.9%) using it. In addition, 45% of respondents reported having no intention of applying it, 41.1% intend to apply it in the long term, and 11.7% in the short term.

ACS Environmental Au?How to Improve the Reach of Your Open Access Research | ACS Environmental Au

“Researchers at universities and other organizations are increasingly expected to demonstrate not only the scholarly impact of their research but also to show that the research has a broader reach and societal impact. Various metrics measure the impact of a research article. Many researchers are accustomed to assessing the impact of their articles by counting the number of citations after publication using online databases. While the number of citations provides one measure of the scholarly impact of an article, it does not necessarily provide information on whether the article is reaching a wider audience.

An additional metric available in ACS Environmental Au and all ACS journals is the Altmetric score. The web page for articles in ACS Environmental Au displays the number of “Article Views,” which is the total number of full-text article downloads (both PDF and HTML) across all institutions and individuals, the Altmetric score, and the number of citations since the publication of the article. The full-text article download number itself is a key indicator of the growing influence of an article. The Altmetric score records the attention an article has received online by measuring the number of times an article is reported in news outlets and articles, commented on in blogs, posted on social media (generally Twitter and Reddit), saved in reference managers such as Mendeley, or listed in an online encyclopedia (Wikipedia). An overall score is attributed to each article based on these measures. The makeup of the score is revealed by clicking on the Altmetric score or “doughnut” on the article web page….”