Evidence map›Paper›PMID 32301733›Full record

ArticleJournal of medical Internet research2020

Social Media Coverage of Scientific Articles Immediately After Publication Predicts Subsequent Citations - #SoME_Impact Score: Observational Analysis.

Niranjan Jude Sathianathen, Robert Lane Iii, Declan G Murphy, Stacy Loeb, Caitlin Bakker, Alastair D Lamb, Christopher J Weight

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Social Media and the Allergist.Current allergy and asthma reports · 2024
    Review
  5. Article
  6. Connecting through ISEV's developing social media landscape.Journal of extracellular vesicles · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Engagement of the Allergy and Immunology Community on Twitter: The Time Is Now.The journal of allergy and clinical immunology. In practice · 2021
    Article
  14. Article
  15. Twitter (X) in Medicine: Friend or Foe to the Field of Interventional Cardiology?Journal of the Society for Cardiovascular Angiography & Interventions
    Review
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

7 authors.

Niranjan Jude SathianathenDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.ORCID 0000-0002-3710-014X
Robert Lane IiiDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.ORCID 0000-0002-8099-9330
Declan G MurphyDepartment of Surgical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia.ORCID 0000-0002-7500-5899
Stacy LoebDepartment of Urology, New York University, New York, NY, United States.ORCID 0000-0003-3933-9207
Caitlin BakkerHealth Science Libraries, University of Minnnesota, Minneapolis, MN, United States.ORCID 0000-0003-4154-8382
Alastair D LambNuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-2968-7155
Christopher J WeightDepartment of Urology, University of Minnesota, Minneapolis, MN, United States.ORCID 0000-0001-9381-959X

Funding

Cancer Research UK 25812
6 · The paper itself

Abstract

backgroundSocial media coverage is increasingly used to spread the message of scientific publications. Traditionally, the scientific impact of an article is measured by the number of citations. At a journal level, this conventionally matures over a 2-year period, and it is challenging to gauge impact around the time of publication.

objectiveWe, therefore, aimed to assess whether Web-based attention is associated with citations and to develop a predictive model that assigns relative importance to different elements of social media coverage: the #SoME_Impact score.

methodsWe included all original articles published in 2015 in a selection of the highest impact journals: The New England Journal of Medicine, The Lancet, the Journal of the American Medical Association, Nature, Cell, and Science. We first characterized the change in Altmetric score over time by taking a single month's sample of recently published articles from the same journals and gathered Altmetric data daily from the time of publication to create a mixed effects spline model. We then obtained the overall weighted Altmetric score for all articles from 2015, the unweighted data for each Altmetric component, and the 2-year citation count from Scopus for each of these articles from 2016 to 2017. We created a stepwise multivariable linear regression model to develop a #SoME_Score that was predictive of 2-year citations. The score was validated using a dataset of articles from the same journals published in 2016.

resultsIn our unselected sample of 145 recently published articles, social media coverage appeared to plateau approximately 14 days after publication. A total of 3150 articles with a median citation count of 16 (IQR 5-33) and Altmetric score of 72 (IQR 28-169) were included for analysis. On multivariable regression, compared with articles in the lowest quantile of #SoME_Score, articles in the second, third, and upper quantiles had 0.81, 15.20, and 87.67 more citations, respectively. On the validation dataset, #SoME_Score model outperformed the Altmetric score (adjusted R

conclusionsSocial media attention predicts citations and could be used as an early surrogate measure of scientific impact. Owing to the cross-sectional study design, we cannot determine whether correlation relates to causation.

Indexed as

BibliometricsJournal Impact FactorCross-Sectional StudiesHumansSocial Mediabibliometricsonline interventiononline social networkingonline systemssocial media

Identifiers

PMID32301733
PMCPMC7195668

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.