Evidence map›Paper›PMID 23922827›Full record

ArticlePloS one2013

Aging 2.0: health information about dementia on Twitter.

Julie M Robillard, Thomas W Johnson, Craig Hennessey, B Lynn Beattie, Judy Illes

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–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

35 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. CareD: Caregiver's Experience with Cognitive Decline in Reddit Posts.Proceedings. IEEE International Conference on Healthcare Informatics · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Alzheimer Caregiving Problems According to ADLs: Evidence from Facebook Support Groups.International journal of environmental research and public health · 2022
    Article
  13. Article
  14. Review
  15. How Content Authored by People with Dementia Affects Attitudes towards Dementia.Proceedings of the ACM on human-computer interaction · 2021
    Article
  16. Article
  17. Article
  18. Safe Enough to Share: Setting the Dementia Agenda Online.CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work · 2019
    Article
  19. Article
  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

5 authors.

Julie M RobillardNational Core for Neuroethics, University of British Columbia, Vancouver, British Columbia, Canada.
Thomas W Johnson
Craig Hennessey
B Lynn Beattie
Judy Illes

Funding

Canadian Institutes of Health Research CIHR DIP #87302Canadian Institutes of Health Research CNE #85117
6 · The paper itself

Abstract

Online social media is widespread, easily accessible and attracts a global audience with a widening demographic. As a large proportion of adults now seek health information online and through social media applications, communication about health has become increasingly interactive and dynamic. Online health information has the potential to significantly impact public health, especially as the population gets older and the prevalence of dementia increases. However, little is known about how information pertaining to age-associated diseases is disseminated on popular social media platforms. To fill this knowledge gap, we examined empirically: (i) who is using social media to share information about dementia, (ii) what sources of information about dementia are promoted, and (iii) which dementia themes dominate the discussion. We data-mined the microblogging platform Twitter for content containing dementia-related keywords for a period of 24 hours and retrieved over 9,200 tweets. A coding guide was developed and content analysis conducted on a random sample (10%), and on a subsample from top users' tweets to assess impact. We found that a majority of tweets contained a link to a third party site rather than personal information, and these links redirected mainly to news sites and health information sites. As well, a large number of tweets discussed recent research findings related to the prediction and risk management of Alzheimer's disease. The results highlight the need for the dementia research community to harness the reach of this medium and its potential as a tool for multidirectional engagement.

Indexed as

Health Information SystemsInternetAdultAgedAgingDementiaHumans

Identifiers

PMID23922827
PMCPMC3724927

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.