2020
DOI: 10.29024/sar.10
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The Pros and Cons of the Use of Altmetrics in Research Assessment

Abstract: Many indicators derived from the web have been proposed to supplement citation-based indicators in support of research assessments. These indicators, often called altmetrics, are available commercially from Altmetric.com and Elsevier's Plum Analytics or can be collected directly. These organisations can also deliver altmetrics to support institutional self-evaluations. The potential advantages of altmetrics for research evaluation are that they may reflect important non-academic impacts and may appear before c… Show more

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Cited by 46 publications
(35 citation statements)
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“…Mendeley readership are considered the most prominent altmetric source with evaluative value, particularly given their large coverage of scientific publications (Costas, Zahedi, and Wouters, 2015a;Thelwall and Sud, 2016;Thelwall, 2017b), the high density levels (Mohammadi et al, 2017;Zahedi and Haustein, 2018), moderate correlation levels with citations (Zahedi, Costas, and Wouters, 2014;Costas, Zahedi, and Wouters, 2015b;Thelwall, 2018), and conceptual proximity to citation indicators (Wouters, Zahedi, and Costas, 2019;Sugimoto et al, 2017). All these interesting properties of Mendeley readership for research evaluation have been discussed in multiple scattered scientific publications (Thelwall, 2020;Thelwall, 2018), and a PhD Thesis , however we were still lacking a focused discussion on the specific possibilities of Mendeley readership for evaluative purposes. In this work we focus on illustrating the practical possibilities of Mendeley readership for research evaluation in aspects in which citation analysis pose more challenges.…”
Section: Discussionmentioning
confidence: 99%
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“…Mendeley readership are considered the most prominent altmetric source with evaluative value, particularly given their large coverage of scientific publications (Costas, Zahedi, and Wouters, 2015a;Thelwall and Sud, 2016;Thelwall, 2017b), the high density levels (Mohammadi et al, 2017;Zahedi and Haustein, 2018), moderate correlation levels with citations (Zahedi, Costas, and Wouters, 2014;Costas, Zahedi, and Wouters, 2015b;Thelwall, 2018), and conceptual proximity to citation indicators (Wouters, Zahedi, and Costas, 2019;Sugimoto et al, 2017). All these interesting properties of Mendeley readership for research evaluation have been discussed in multiple scattered scientific publications (Thelwall, 2020;Thelwall, 2018), and a PhD Thesis , however we were still lacking a focused discussion on the specific possibilities of Mendeley readership for evaluative purposes. In this work we focus on illustrating the practical possibilities of Mendeley readership for research evaluation in aspects in which citation analysis pose more challenges.…”
Section: Discussionmentioning
confidence: 99%
“…In this work we focus on illustrating the practical possibilities of Mendeley readership for research evaluation in aspects in which citation analysis pose more challenges. In this regard we are adopting a relatively conservative perspective, seeing Mendeley readership as a complement to citations, which is also the most common recommendation in the literature (Haustein, Bowman, and Costas, 2016;Thelwall, 2020). There have been also discussions about the possibility of considering readership as another type of "currency of science" that could be discussed on par with citations (Costas, Perianes-Rodríguez, and Ruiz-Castillo, 2017), but we are not discussing this approach in this study.…”
Section: Discussionmentioning
confidence: 99%
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“…Beyond their incorporation in CVs, there are authors who propose using altmetrics as criteria for distributing funds for grants or projects [ 32 , 84 ]. They base this opinion on the altmetrics’ immediate character.…”
Section: The Emerging Role Of Altmetrics and Their Main Limitationsmentioning
confidence: 99%
“…This type of detail is defined by each provider and is not explained, resulting in a lack of transparency [ 79 , 79 ]. Given the diversity of sources, collecting all the inputs takes a lot of time and this also contributes to the lack of consistency between providers [ 84 ]. Table 4 shows the altmetric data for the article “What the radiologist should know about artificial intelligence—an ESR White paper”, published in Insights into Imaging.…”
Section: The Emerging Role Of Altmetrics and Their Main Limitationsmentioning
confidence: 99%