Evidence map›Paper›PMID 32836523›Full record

ArticleScientometrics2020

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

Zhichao Fang, Rodrigo Costas, Wencan Tian, Xianwen Wang, Paul Wouters

Abstract read
In one paragraph

Article in Scientometrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhichao FangCentre for Science and Technology Studies (CWTS), Leiden University, Leiden, The Netherlands.ORCID 0000-0002-3802-2227
Rodrigo CostasCentre for Science and Technology Studies (CWTS), Leiden University, Leiden, The Netherlands.ORCID 0000-0002-7465-6462
Wencan TianWISE Lab, Institute of Science of Science and S&T Management, Dalian University of Technology, Dalian, China.ORCID 0000-0001-7420-9315
Xianwen WangWISE Lab, Institute of Science of Science and S&T Management, Dalian University of Technology, Dalian, China.ORCID 0000-0002-7236-9267
Paul WoutersCentre for Science and Technology Studies (CWTS), Leiden University, Leiden, The Netherlands.ORCID 0000-0002-4324-5732

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

AltmetricsData coverageData intensityHot topicsSocial attentionSocial media metrics

Identifiers

PMID32836523
PMCPMC7297939

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.