Evidence map›Paper›PMID 27840788›Full record

ArticleNetwork modeling and analysis in health informatics and bioinformatics2016

Employing the Gini coefficient to measure participation inequality in treatment-focused Digital Health Social Networks.

Trevor van Mierlo, Douglas Hyatt, Andrew T Ching

Open access · hybridAbstract read
In one paragraph

Article in Network modeling and analysis in health informatics and bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. From Efficacy to Scale: Addressing Digital Health's Original Sin.Journal of medical Internet research · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Financial burden associated with attendance at a public hospital emergency department in Johannesburg.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2022
    Article
  12. Article
  13. Article
  14. High-Throughput Transcriptomics Platform for Screening Environmental Chemicals.Toxicological sciences : an official journal of the Society of Toxicology · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. 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

3 authors at 2 institutions in 2 countries.

Trevor van MierloHenley Business School, University of Reading, Greenlands, Henley-on-Thames, RG9 3AU UK ; Evolution Health Systems Inc., 900 King Streeet West, Suite 401, Toronto, M5V 3H5 Canada.ORCID 0000-0002-5675-0084
Douglas HyattRotman School of Management, University of Toronto, 105 St George Street, Toronto, M5S 3E6 Canada.
Andrew T ChingRotman School of Management, University of Toronto, 105 St George Street, Toronto, M5S 3E6 Canada.
University of Toronto · CAHenley College · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital Health Social Networks (DHSNs) are common; however, there are few metrics that can be used to identify participation inequality. The objective of this study was to investigate whether the Gini coefficient, an economic measure of statistical dispersion traditionally used to measure income inequality, could be employed to measure DHSN inequality. Quarterly Gini coefficients were derived from four long-standing DHSNs. The combined data set included 625,736 posts that were generated from 15,181 actors over 18,671 days. The range of actors (8-2323), posts (29-28,684), and Gini coefficients (0.15-0.37) varied. Pearson correlations indicated statistically significant associations between number of actors and number of posts (0.527-0.835,

Indexed as

EconometricsGini coefficientOnline support groupsSocial networksSuperusers

Identifiers

PMID27840788
PMCPMC5082574
OpenAlexW2541456986

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.