Evidence map›Paper›PMID 25834664›Full record

ArticleThe western journal of emergency medicine2015

The social media index: measuring the impact of emergency medicine and critical care websites.

Brent Thoma, Jason L Sanders, Michelle Lin, Quinten S Paterson, Jordon Steeg, Teresa M Chan

Abstract readEvaluation Study
In one paragraph

Article in The western journal of emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
–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

56 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Article
  5. Review
  6. FOAM authorship: Who's teaching our learners?AEM education and training · 2024
    Article
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  9. Review
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  12. An Evaluation of Emergency Medicine Core Content Covered by Podcasts.The western journal of emergency medicine · 2023
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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

6 authors.

Brent ThomaLearning Laboratory and Division of Medical Simulation, Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts ; University of Saskatchewan, Emergency Medicine, Saskatoon, Saskatchewan ; MedEdLIFE Research Collaborative, San Francisco, California.
Jason L SandersMedEdLIFE Research Collaborative, San Francisco, California ; University of Pittsburgh, Department of Epidemiology, Pittsburgh, Pennsylvania ; Harvard Affiliated Emergency Medicine Residency, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Massachusetts.
Michelle LinMedEdLIFE Research Collaborative, San Francisco, California ; University of California, San Francisco, Department of Emergency Medicine, San Francisco, California.
Quinten S PatersonCollege of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan.
Jordon SteegCollege of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan.
Teresa M ChanMedEdLIFE Research Collaborative, San Francisco, California ; McMaster University, Division of Emergency Medicine, Department of Medicine, Hamilton, Ontario.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe number of educational resources created for emergency medicine and critical care (EMCC) that incorporate social media has increased dramatically. With no way to assess their impact or quality, it is challenging for educators to receive scholarly credit and for learners to identify respected resources. The Social Media index (SMi) was developed to help address this.

methodsWe used data from social media platforms (Google PageRanks, Alexa Ranks, Facebook Likes, Twitter Followers, and Google+ Followers) for EMCC blogs and podcasts to derive three normalized (ordinal, logarithmic, and raw) formulas. The most statistically robust formula was assessed for 1) temporal stability using repeated measures and website age, and 2) correlation with impact by applying it to EMCC journals and measuring the correlation with known journal impact metrics.

resultsThe logarithmic version of the SMi containing four metrics was the most statistically robust. It correlated significantly with website age (Spearman r=0.372; p<0.001) and repeated measures through seven months (r=0.929; p<0.001). When applied to EMCC journals, it correlated significantly with all impact metrics except number of articles published. The strongest correlations were seen with the Immediacy Index (r=0.609; p<0.001) and Article Influence Score (r=0.608; p<0.001).

conclusionThe SMi's temporal stability and correlation with journal impact factors suggests that it may be a stable indicator of impact for medical education websites. Further study is needed to determine whether impact correlates with quality and how learners and educators can best utilize this tool.

Indexed as

Critical CareEmergency MedicineInternetJournal Impact FactorSocial Media

Identifiers

PMID25834664
PMCPMC4380373

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.