Altmetrics: Finding Meaningful Needles in the Data Haystack

Crotty, David

doi:10.1080/00987913.2014.947839

Cited by 24 publications

(12 citation statements)

References 2 publications

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“…Several criticisms have been made of the use of altmetrics for research evaluation. Some authors have focused on the lack of validation of the metrics and limitations of data collection (e.g., "Alternative metrics," 2012; Wouters & Costas, 2012), while others have argued that altmetrics are not impact indicators, but rather indicators of attention and popularity (Crotty, 2014;Gruber, 2014;Sugimoto, 2015). Such criticism is largely due to the lack of a clear conceptual or theoretical framework for altmetrics, which would provide an interpretative lens through which motivations behind social media acts could be understood.…”

Section: Social Media and Research Evaluationmentioning

confidence: 99%

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

Sugimoto

Work

Larivière

et al. 2017

Asso for Info Science & Tech

446

322

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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.

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Section: Social Media and Research Evaluationmentioning

confidence: 99%

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

Sugimoto

Work

Larivière

et al. 2017

Asso for Info Science & Tech

446

322

View full text Add to dashboard Cite

show abstract

“…From the point of view that altmetrics can capture the attention around scholarly objects from broader publics (Crotty, 2014;Sugimoto, 2015), some altmetric data were also used to characterize research topics based on the interest exhibited by different altmetric and social media users. For example, Robinson-Garcia et al (2019) studied the field of Microbiology to map research topics which are highly mentioned within news media outlets, policy briefs, and tweets over time.…”

Section: Identification Of Hot Research Topics Using Altmetric Datamentioning

confidence: 99%

An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics

et al. 2020

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Sufficient data presence is one of the key preconditions for applying metrics in practice. Based on both Altmetric.com data and Mendeley data collected up to 2019, this paper presents a state-of-the-art analysis of the presence of 12 kinds of altmetric events for nearly 12.3 million Web of Science publications published between 2012 and 2018. Results show that even though an upward trend of data presence can be observed over time, except for Mendeley readers and Twitter mentions, the overall presence of most altmetric data is still low. The majority of altmetric events go to publications in the fields of Biomedical and Health Sciences, Social Sciences and Humanities, and Life and Earth Sciences. As to research topics, the level of attention received by research topics varies across altmetric data, and specific altmetric data show different preferences for research topics, on the basis of which a framework for identifying hot research topics is proposed and applied to detect research topics with higher levels of attention garnered on certain altmetric data source. Twitter mentions and policy document citations were selected as two examples to identify hot research topics of interest of Twitter users and policy-makers, respectively, shedding light on the potential of altmetric data in monitoring research trends of specific social attention.

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“…Inevitably altmetrics has brought fresh attention to the uses of data (via metrics) for evaluation or judgment (Crotty, 2014;Hicks et al, 2015). Skeptics insist on stricter standards for defining metrics, data quality, indicator reliability, and representation of social media contexts before altmetrics can be fully accepted in research assessment and faculty evaluation (Liu & Adie, 2013), but altmetrics' chief theorist and advocate says that the traditional system based on citations is too remote from the realities of science, "where ideas are born, nursed, and raised in messy, fast moving informal invisible colleges" (Priem, 2014, p. 264; see also Lapinski, Piwowar, & Priem, 2013).…”

Section: The Arrival Of Altmetricsmentioning

confidence: 99%

Social Scholarship? Academic Communications in the Digital Age

Weiland¹

2017

"Roll With the Times, or the Times Roll Over You"

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Altmetrics: Finding Meaningful Needles in the Data Haystack

Cited by 24 publications

References 2 publications

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

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

An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics

Social Scholarship? Academic Communications in the Digital Age

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