A Bibliometric Study on Learning Analytics

Learning analytics tools and techniques are continually developed and published in scholarly discourse. This study aims at examining the intellectual structure of the Learning Analytics domain by collecting and analyzing empirical articles on Learning Analytics for the period of 2004-2018. First, bibliometric analysis and citation analyses of 2730 documents from Scopus identified the top authors, key research affiliations, leading publication sources (journals and conferences), and research themes of the learning analytics domain. Second, Domain Analysis (DA) techniques were used to investigate the intellectual structures of learning analytics research, publication, organization, and communication (Hjørland & Bourdieu 2014). The software of VOSviewer is used to analyze the relationship by publication: historical and institutional; author and institutional relationships and the dissemination of Learning Analytics knowledge. The results of this study showed that Learning Analytics had captured the attention of the global community. The United States, Spain, and the United Kingdom are among the leading countries contributing to the dissemination of learning analytics knowledge. The leading publication sources are ACM International Conference Proceeding Series, and Lecture Notes in Computer Science. The intellectual structures of the learning analytics domain are presented in this study the LA research taxonomy can be re-used by teachers, administrators, and other stakeholders to support the teaching and learning environments in a higher education institution

Information Management as a Nexus to Promote the use of Indigenous Medicine and Enhance Public Healthcare Delivery: A Bibliometric Analysis

This paper uses a bibliometric analysis to explore the citations trend in ethnomedicine and information management. A text mining algorithm of a total number of 8, 333 publications (n = 8,333) was conducted based on the title, abstract and keywords to find co-occurrence of key terms in indigenous medicine and information management. The first objective was to analyze the authorship, outputs and citation trends and establish if researchers have been able to establish a nexus between indigenous herbal use and the role of information management in promoting such use. Secondly, the study sought to establish if there is already a link in information management research through collaboration as a nexus to promote indigenous use of herbal medicine and enhance public healthcare delivery systems on the African continent. A computation synthesis of the data was performed using R programming statistical analysis and bibliometric software to visualize the analyzed data. Based on the R programming output, the total author sample size was 35,970 (n = 35,970), and their total publications output was n= 8,333, while the total outputs parameters was as follows: Min = 5.00 Max = 71.00, µ = 10.59. The average citation per items was 4.74 (ACP = 4.74) h-index=60, sum of times cited (STC = 39,572), citing articles (CA = 32,749) without self-citations (n =36,042) and citing articles (CA= 30,777). The findings suggest that researchers have yet to establish the nexus between information management and its impact in promoting indigenous use of natural remedies within public healthcare to promote its efficacy

LIS Journals\u27 Lack of Participation in Wikidata Item Creation

There are many items in Wikidata representing scholarly articles. However, these items have been created mostly by volunteer Wikidata editors and not systematically by journal publishers or editors, which can lead to gaps and inconsistencies in the datasets. This article presents findings from a survey investigating practices of library and information studies (LIS) journals in Wikidata item creation. Believing that a significant number of LIS journal editors would be aware of Wikidata and some would be creating Wikidata items for their publications, the authors sent a survey asking 138 English-language LIS journal editors if they created Wikidata items for materials published in their journal and follow-up questions. With a response rate of 41 percent, respondents overwhelmingly indicated that they did not create Wikidata items for materials published in their journal and were completely unaware of or only somewhat familiar with Wikidata. Respondents indicated that more familiarity with Wikidata and its benefits for scholarly journals as well as institutional support for the creation of Wikidata items could lead to greater participation; however, a campaign of education about Wikidata, documentation of benefits, and support for creation would be a necessary first step. The article presents and discusses the results of the survey, but the conclusions that can be drawn are minimal; therefore, the authors also discuss the benefits of creating Wikidata items for LIS journals as a first step in this educational campaign for editors and publishers

SPEC Kit 346: Scholarly Output Assessment Activities

This SPEC Kit explores current ARL member library activities that help authors manage their scholarly identities, provide options for creating and disseminating scholarly outputs, offer strategies to enhance discoverability of scholarly outputs, help authors efficiently track scholarly outputs and impact, provide resources and tools to help authors assess their scholarly impact, create publication reports and social network maps for reporting purposes, and offer guidance and training on new trends and tools for reporting of impact. This study covers library assessment services and resources, training, staffing models, partnerships with the parent institution, marketing and publicity, and future trends. This SPEC Kit includes examples of training materials, job descriptions, descriptions of assessment services, examples of assessment reports, and research guides on scholarly output metrics

Research Impact of the Iranian Publications on Social Networks in Scopus Indexed

Due to the major role of research in the sustainable development of countries all around the world, mapping the scientific production must be designed according to indexed in databases. The purpose of the present study is to analyze Iranian literature on the field of social networks in comparison with the same studies to cross the Middle East and the world level. This is research is a descriptive study. A total of 123,609 documents indexed pertained to this topic were processed from 1970 to the end of 2017 indexed in the Scopus database. Excel software was used to analyze the data. Different study types, characterized by years, city/country of origin, journals and more productive authors, the ratio cooperation between them by country and institutions, cites and H index. Data was collected and analyzed in Microsoft Excel software. The finding showed that United States was the highest producer (% 29.74), followed by China (%11.85) and Iran ranked 31th among the countries of the world and also 3rd among the Middle East countries (H index=23). Although the ratio of scientific production in bibliographical databases, particularly regional, is still relatively impressive then it is necessary to promote more research on it

Analysis of the 100 most-cited papers in one of the leading Library and Information Science journals “Scientometrics”

Scientometrics is one of the leading peer-reviewed journals in the field of Library and Information Science (LIS). The present study is aimed to evaluate the salient characteristics of the 100 most-cited papers of Scientometrics. The bibliographic data of most cited papers were extracted from the Scopus database. The attributes of selected papers were analyzed by using Microsoft Excel, VOSviewer, and Biblioshiny software. These papers were published between 1979 and 2017. All papers gained citations with a mean ratio of 332.86 citations per paper and the range of citations varies from 155 to 3,222. These papers were contributed by 221authors, with an average of 2.21 authors per paper. Thirty-two papers were contributed by a single author pattern and these papers gained a higher proportion of citations as compared to multi-author papers. Likewise, the open accessed papers gained more citations as compared to subscription-based papers. Glänzel W. emerged as the most prolific author while the United States contributed the highest number of papers. This paper also highlighted the frequently used keywords and the analysis of cited references. Scientometrics is an important journal that has been providing a platform to LIS researchers, focusing on research evaluation, altmetrics, bibliometrics, and citation analysis, etc. The findings of the current study assist to recognize the publication trends and research markers in the area of scientometrics