Supporting the research feedback loop

Tattersall, Andy

doi:10.1108/pmm-08-2016-0037

Cited by 7 publications

(1 citation statement)

References 21 publications

(19 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, altmetrics can be captured for research outputs beyond articles, like data sets, software, molecular structures, etc. Since the publication of the Altmetrics Manifesto (Priem et al , 2010), a huge number of academic publications have been released around the world on alternative metrics (Holmberg, 2015; Tattersall, 2017; Roemer and Borchardt, 2012). The main objective of these altmetric studies has been to understand the meaning of these metrics and their possible application to research evaluation (Erdt et al , 2016; Sugimoto et al , 2017) .…”

Section: Introductionmentioning

confidence: 99%

Altmetrics analysis of selected articles in the field of social sciences

Sedighi

2022

GKMC

View full text Add to dashboard Cite

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.

show abstract