Correlating altmetrics and h5-Index using Google Scholar metrics for journals in Library and Information Science

The purpose of this paper is to correlate altmetrics and h5-index using Google Scholar metrics for journals in Library and Information Science, in order to clarify the relative significance of altmetrics in evaluating research impact. This paper adopted the behavioural bibliometrics to analyse data that was collected from Google Scholar metrics for three systematically selected journals in LIS. We obtained altmetrics scores for selected articles from Altmetrics.com. This paper focuses on: (i) the extent in which altmetrics indicators correlate with the journal’s h5-index; (ii) the disproportions amongst altmetrics indicators, and; (iii) the comparison of article altmetrics scores in journals with different h5-index. The results of this paper reveal noteworthy independence of altmetrics from h5-index. Therefore, the journal’s h5-index does not impact or reflect on its article altmetrics. Amongst other altmetrics indicators, Mendeley dominates in all articles altmetrics. The results further confirmed the possibility of articles in journals with low h5-index to attained greater social media attention than articles in journals with high h5-index. This paper adds to the body of knowledge in LIS, informetrics in particular. It is hoped that the results of this study will help create better understanding of altmetrics and prevent its misuse

PENGARUH MEDIA SOSIAL TERHADAP SITASI PUBLIKASI INTERNASIONAL KARYA ILMIAH INDONESIA BIDANG PERTANIAN DENGAN PENDEKATAN ALTMETRICS

The purpose of this study was to measure the impact of Indonesia research especially in agriculture published in international Scopus journals using Altmetrics. This research method consisted of problem identification, data collection, data preprocessing, Altmetrics approach analysis, and final analysis. The data of this study were obtained from Scopus.com citation metadata by writing the Agriculture keyword and Indonesian affiliation that the limited year from 2015-2017. Altmetrics data is obtained from Altmetric.com; Altmetrics Explorer for Librarian by extracting DOIs from each publication of scientific work. Then the data is analyzed by the Altmetrics approach, namely Facebook Coverage and Mention Rate. This study performed an analysis based on Altmetrics data share to know the popularity Indonesian research in Scopus journal and analyzed the correlation between Citation data Indonesian research in Scopus journal and Altmetrics data share of Altmetric.com. This study analyzed the impact of 4484 Indonesia research articles published by Scopus journals in the field of agriculture through Altmetrics and compared it with bibliometrics. The result showed that Coverage and Mention Rate of social media only were below 30% which was not too significant in the content discussed, view & reader and mention on social media

The metric tide: report of the independent review of the role of metrics in research assessment and management

This report presents the findings and recommendations of the Independent Review of the Role of Metrics in Research Assessment and Management. The review was chaired by Professor James Wilsdon, supported by an independent and multidisciplinary group of experts in scientometrics, research funding, research policy, publishing, university management and administration. This review has gone beyond earlier studies to take a deeper look at potential uses and limitations of research metrics and indicators. It has explored the use of metrics across different disciplines, and assessed their potential contribution to the development of research excellence and impact. It has analysed their role in processes of research assessment, including the next cycle of the Research Excellence Framework (REF). It has considered the changing ways in which universities are using quantitative indicators in their management systems, and the growing power of league tables and rankings. And it has considered the negative or unintended effects of metrics on various aspects of research culture. The report starts by tracing the history of metrics in research management and assessment, in the UK and internationally. It looks at the applicability of metrics within different research cultures, compares the peer review system with metric-based alternatives, and considers what balance might be struck between the two. It charts the development of research management systems within institutions, and examines the effects of the growing use of quantitative indicators on different aspects of research culture, including performance management, equality, diversity, interdisciplinarity, and the ‘gaming’ of assessment systems. The review looks at how different funders are using quantitative indicators, and considers their potential role in research and innovation policy. Finally, it examines the role that metrics played in REF2014, and outlines scenarios for their contribution to future exercises

Scholarly use of social media and altmetrics : a review of the literature

Social media has become integrated into the fabric of the scholarly communication system in fundamental ways: principally through scholarly use of social media platforms and the promotion of new indicators on the basis of interactions with these platforms. Research and scholarship in this area has accelerated since the coining and subsequent advocacy for altmetrics—that is, research indicators based on social media activity. This review provides an extensive account of the state-of-the art in both scholarly use of social media and altmetrics. The review consists of two main parts: the first examines the use of social media in academia, examining the various functions these platforms have in the scholarly communication process and the factors that affect this use. The second part reviews empirical studies of altmetrics, discussing the various interpretations of altmetrics, data collection and methodological limitations, and differences according to platform. The review ends with a critical discussion of the implications of this transformation in the scholarly communication system

E-visibility of environmental sciences researchers at the University of South Africa

Abstract : Research e-visibility in theory enables a researcher to establish and maintain a digital research portfolio utilising various research e-profiles on a number of research online communities and platforms. E-visibility embodies the online presence of the researcher and their research, researcher’s discoverability via research e-profiles and the accessibility of research output on online research communities. The rationale for this study has its foundation in the premise that enhancing the e-visibility of a researcher will increase the research and societal impact of the researcher. The development of an e-visibility strategy for the School of Environmental Sciences (SES) at the University of South Africa (Unisa) would be instrumental in enhancing the e-visibility of the researchers. This study aims at establishing guidelines for the development of an e-visibility strategy for SES researchers at Unisa as part of research support via the Library services. Altmetric and bibliometric data of the SES researchers, were collected during the 2-year period (December 2014 and December 2017) and e-visibility surveys were conducted at the beginning of the study (December 2014) and at the end of the study (April 2017) as part of a longitudinal e-visibility study. The data was analysed using statistical methods to ascertain: 1) the SES researchers e-visibility status, 2) the SES researchers’ perceptions about e-visibility, 3) the altmetric-bibliometric correlations (relationships) from the altmetrics sourced from the academic social networking tools and the bibliometrics derived from the citation resources, and 4) identifying e-visibility practices and actions increasing research and societal impact. The results reflected a total increase in online presence, discoverability, and accessibility therefore indicating an overall increase in the actual and perceived e-visibility of the SES researchers. The survey conducted at the end of the study, found that 73% of the SES researchers indicating that their e-visibility increased with online presence being enhanced, 69% were more discoverable and 76% of their research output was more accessible after applying what they learnt during the e-visibility awareness and training...Ph.D. (Information Management

Social media in scholarly communication : a review of the literature and empirical analysis of Twitter use by SSHRC doctoral award recipients

This report has been commissioned by the Social Sciences and Humanities Research Council (SSHRC) to analyze the role that social media currently plays in scholarly communication as well as to what extent metrics derived from social media activity related to scholarly content can be applied in an evaluation context. Scholarly communication has become more diverse and open with research being discussed, shared and evaluated online. Social media tools are increasingly being used in the research and scholarly communication context, as scholars connect on Facebook, LinkedIn and Twitter or specialized platforms such as ResearchGate, Academia.edu or Mendeley. Research is discussed on blogs or Twitter, while datasets, software code and presentations are shared on Dryad, Github, FigShare and similar websites for reproducibility and reuse. Literature is managed, annotated and shared with online tools such as Mendeley and Zotero, and peer review is starting to be more open and transparent. The changing landscape of scholarly communication has also brought about new possibilities regarding its evaluation. So-called altmetrics are based on scholarly social media activity and have been introduced to reflect scholarly output and impact beyond considering only peer-reviewed journal articles and citations within them to measure scientific success. This includes the measurement of more diverse types of scholarly work and various forms of impact including that on society. This report provides an overview of how various social media tools are used in the research context based on 1) an extensive review of the current literature as well as 2) an empirical analysis of the use of Twitter by the 2010 cohort of SSHRC Doctoral Award recipients was analyzed in depth. Twitter has been chosen as one of the most promising tools regarding interaction with the general public and scholarly communication beyond the scientific community. The report focuses on the opportunities and challenges of social media and derived metrics and attempts to provide SSHRC with information to develop guidelines regarding the use of social media by funded researchers as well support the informed used of social media metrics

Can alternative indicators overcome language biases in citation counts? A comparison of Spanish and UK research

This is an accepted manuscript of an article published by Springer in Scientometrics on 09/09/2016, available online: https://doi.org/10.1007/s11192-016-2118-8 The accepted version of the publication may differ from the final published version.This study compares Spanish and UK research in eight subject fields using a range of bibliometric and social media indicators. For each field, lists of Spanish and UK journal articles published in the year 2012 and their citation counts were extracted from Scopus. The software Webometric Analyst was then used to extract a range of altmetrics for these articles, including patent citations, online presentation mentions, online course syllabus mentions, Wikipedia mentions and Mendeley reader counts and Altmetric.com was used to extract Twitter mentions. Results show that Mendeley is the altmetric source with the highest coverage, with 80% of sampled articles having one or more Mendeley readers, followed by Twitter (34%). The coverage of the remaining sources was lower than 3%. All of the indicators checked either have too little data or increase the overall difference between Spain and the UK and so none can be suggested as alternatives to reduce the bias against Spain in traditional citation indexes

Data Science: A Study from the Scientometric, Curricular, and Altmetric Perspectives

This research explores the emerging field of data science from the scientometric, curricular, and altmetric perspectives and addresses the following six research questions: 1. What are the scientometric features of the data science field? 2. What are the contributing fields to the establishment of data science? 3. What are the major research areas of the data science discipline? 4. What are the salient topics taught in the data science curriculum? 5. What topics appear in the Twitter-sphere regarding data science? 6. What can be learned about data science from the scientometric, curricular, and altmetric analyses of the data collected? Using bibliometric data from the Scopus database for 1983 – 2021, the current study addresses the first three research questions. The fourth research question is answered with curricular data collected from U.S. educational institutions that offer data science programs. Altmetric data was gathered from Twitter for over 20 days to answer the fifth research question. All three sets of data are analyzed quantitatively and qualitatively. The scientometric portion of this study revealed a growing field, expanding beyond the borders of the United States and the United Kingdom into a more global undertaking. Computer Science and Statistics are foundational contributing fields with a host of additional fields contributing data sets for new data scientists to act, including, for example, the Biomedical and Information Science fields. When it comes to the question of salient topics across all three aspects of this research, it was revealed that a large degree of coherence between the three resulted in highlighting thirteen core topics of data science. However, it can be noted that Artificial Intelligence stood out among all the other groups with leading topics such as Machine Learning, Neural Networks, and Natural Language Processing. The findings of this study not only identify the major parameters of the data science field (e.g., leading researchers, the composition of the discipline) but also reveal its underlying intellectual structure and research fronts. They can help researchers to ascertain emerging topics and research fronts in the field. Educational programs in data science can learn from this study about how to update their curriculums and better prepare students for the rapidly growing field. Practitioners and other stakeholders of data science can also benefit from the present research to stay tuned and current in the field. Furthermore, the triple-pronged approach of this research provides a panoramic view of the data science field that no prior study has ever examined and will have a lasting impact on related investigations of an emerging discipline