Evidence map›Paper›PMID 33643434›Full record

ArticleJournal of the Intensive Care Society2021

Can altmetrics predict future citation counts in critical care medicine publications?

Daniel J Lehane, Colin S Black

Abstract read
In one paragraph

Article in Journal of the Intensive Care Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

2 authors.

Daniel J LehaneDepartment of Anaesthesia, National Maternity Hospital, Dublin, Ireland.ORCID https://orcid.org/0000-0002-2673-4454
Colin S BlackDepartment of Anaesthesia, Our Lady's Children's Hospital, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSocial media is increasingly used in the dissemination of medical research. Traditional measures of the impact of a paper do not account for this. Altmetrics are a measure of the dissemination of a publication via social media websites. The purpose of this study is to ascertain if the altmetric attention score of an article is a reliable measure of the impact it has in the field of critical care medicine. To this end, we investigated if a correlation exists between future citation count and altmetric attention score.

methodsThe top nine journals by impact factor in the field of critical care medicine were identified for 2014 and 2015. The 100 most cited articles from these journals were recorded to form the Scientific Impact Group, i.e. those with the greatest impact on the scientific community. The altmetric attention score was recorded for each article. The top 100 articles by altmetric attention score were also identified to form the Media Impact Group, i.e. those that generated the most online attention. Their citation counts' were recorded. Statistical analysis was performed on each group to identify a correlation between altmetric attention score and citation count.

resultsThere was a moderately positive correlation in the Scientific Impact Group, with a Spearman

conclusionsThere is a positive correlation between traditional bibliographic metrics and altmetrics in the field of critical care medicine. Highly cited papers are more likely to generate online attention. However, papers that generate a lot of online attention are less likely to have a high citation count. Therefore, altmetric attention score is not a reliable predictor of future citation count in critical care medicine.

Indexed as

Altmetricscitation countcritical caremedia impactscientific impactsocial media

Identifiers

PMID33643434
PMCPMC7890758

What OpenQuestion holds

Textmetadata
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Registered trials

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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.