Evidence map›Paper›PMID 27121850›Full record

Trial reportJournal of the American Heart Association2016

Randomized Controlled Trial of Social Media: Effect of Increased Intensity of the Intervention.

Caroline S Fox, Ellen B Gurary, John Ryan, Marc Bonaca, Karen Barry, Joseph Loscalzo, Joseph Massaro

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Heart Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Researchers in cardiology - Why and how to get on Twitter?International journal of cardiology. Heart & vasculature · 2022
    Review
  15. #Cardiotwitter: The Global Cardiology Fellowship.Journal of the American Heart Association · 2021
    Article
  16. Article
  17. The impact of Twitter promotion on future citation rates: The #TweetTheJournal study.International journal of cardiology. Heart & vasculature · 2021
    Article
  18. Article
  19. Observational
  20. 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

7 authors.

Caroline S FoxCirculation Editorial Offices, Boston, MA cfox@circulationjournal.org.
Ellen B GuraryDepartment of Biostatistics, Boston University School of Public Health, Boston, MA.
John RyanCirculation Editorial Offices, Boston, MA Division of Cardiovascular Medicine, Department of Medicine, University of Utah, Salt Lake City, UT.
Marc BonacaCirculation Editorial Offices, Boston, MA Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Karen BarryCirculation Editorial Offices, Boston, MA.
Joseph LoscalzoCirculation Editorial Offices, Boston, MA Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Joseph MassaroCirculation Editorial Offices, Boston, MA Department of Biostatistics, Boston University School of Public Health, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA prior randomized controlled trial of social media exposure at Circulation determined that social media did not increase 30-day page views. Whether insufficient social media intensity contributed to these results is uncertain. METHODS AND

resultsOriginal article manuscripts were randomized to social media exposure compared with no social media exposure (control) at Circulation beginning in January 2015. Social media exposure consisted of Facebook and Twitter posts on the journal's accounts. To increase social media intensity, a larger base of followers was built using advertising and organic growth, and posts were presented in triplicate and boosted on Facebook and retweeted on Twitter. The primary outcome was 30-day page views. Stopping rules were established at the point that 50% of the manuscripts were randomized and had 30-day follow-up to compare groups on 30-day page views. The trial was stopped for futility on September 26, 2015. Overall, 74 manuscripts were randomized to receive social media exposure, and 78 manuscripts were randomized to the control arm. The intervention and control arms were similar based on article type (P=0.85), geographic location of the corresponding author (P=0.33), and whether the manuscript had an editorial (P=0.80). Median number of 30-day page views was 499.5 in the social media arm and 450.5 in the control arm; there was no evidence of a treatment effect (P=0.38). There were no statistically significant interactions of treatment by manuscript type (P=0.86), by corresponding author (P=0.35), by trimester of publication date (P=0.34), or by editorial status (P=0.79).

conclusionsA more intensive social media strategy did not result in increased 30-day page views of original research.

Indexed as

InternetMarketingPeriodicals as TopicSocial MediaHumansPublishingaltmetricsrandomized control trialsocial media

Identifiers

PMID27121850
PMCPMC4889182

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.