Evidence map›Paper›PMID 34713062›Full record

SynthesisFrontiers in digital health2020

Toward an Ethical Framework for the Text Mining of Social Media for Health Research: A Systematic Review.

Elizabeth Ford, Scarlett Shepherd, Kerina Jones, Lamiece Hassan

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in digital health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% of its field
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, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Review
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  8. Observational
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  12. Review
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  15. Review
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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

4 authors at 3 institutions in 1 country.

Elizabeth FordDepartment of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom.
Scarlett ShepherdDepartment of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, United Kingdom.
Kerina JonesPopulation Data Science, Medical School, Swansea University, Swansea, United Kingdom.
Lamiece HassanDivision of Informatics, Imaging & Data Sciences, University of Manchester, Manchester, United Kingdom.
Brighton and Sussex Medical School · GBSwansea University · GBUniversity of Manchester · GB

Funding

Medical Research Council MR/S004025/1
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ethicshealth researchnatural language processingsocial mediatext-mining

Identifiers

PMID34713062
PMCPMC8521805
OpenAlexW3124093050

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.