Evidence map›Paper›PMID 27507563›Full record

ArticleJournal of medical Internet research2016

The Importance of Debiasing Social Media Data to Better Understand E-Cigarette-Related Attitudes and Behaviors.

Jon-Patrick Allem, Emilio Ferrara

Abstract readComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Examining the Peer-Reviewed Literature on Tobacco-Related Social Media Data: Scoping Review.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  4. Article
  5. Twitter Surveillance at the Intersection of the Triangulum.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Social Media Multidimensional Analysis for Intelligent Health Surveillance.International journal of environmental research and public health · 2020
    Article
  17. Article
  18. Article
  19. Where Do People Vape? Insights from Twitter Data.International journal of environmental research and public health · 2019
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Jon-Patrick AllemKeck School of Medicine, Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States. allem@usc.edu.ORCID 0000-0001-9135-8689
Emilio FerraraORCID 0000-0002-1942-2831

Funding

USC Tobacco Center of Regulatory Science (TCORS) for Vulnerable PopulationsP50CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN, SAMET, JONATHAN M · 2013 to 2017
$20.1M
NCI NIH HHS P50 CA180905
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Electronic Nicotine Delivery SystemsSocial MediaAttitudeSmoking CessationTobacco Productselectronic cigarettesInternetsocial mediasurveillanceTwitter

Identifiers

PMID27507563
PMCPMC5037931

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.