Bookmarks

Respiratory social media database

Population Size

Not reported
Population Size statistic card

Years

1905 - 2016

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

Geographic coverage statistic card

Lead time

Variable

Lead time statistic card

Summary

The QMUL-LSI-RSM respiratory social media is a database for multidisciplinary research aimed to improve understanding of unmet needs of people with asthma and asthma self-management.

Documentation

The QMUL-LSI-RSM respiratory social media is a database for multidisciplinary research aimed to improve understanding of unmet needs of people with asthma and asthma self-management. It includes 875,151 anonymised posts from 23,182 users of the Asthma UK (10 years of data) and British Lung Foundation online communities (4 years of data).

The datasets includes publicly shared posts and their metadata (ie, the anonymized user ID numbers), user roles (eg, user, administrator, or moderator), date of posting, the hierarchical level of the post within the corresponding thread, and the dates in which the users joined and left the community.

  • Asthma UK: Date from to 02/03/2006-06/09/2016 (548 weeks)
  • Total number of users, n = 3,345
  • Total number of posts, n = 32,780
  • Number of posts per user, mean (SD) = 14.2 (55.0)
  • Posts contributed by top 1% superusers, n (%) = 10,457 (31.9)
  • Number of connections per user, mean (SD) = 2.1 (5.9)
  • Number of connections per user, median (SD) = 1.0 (69.0)
  • British Lung Foundation Date from to 13/04/2012-06/09/2016 (230 weeks)
  • Total number of users, n = 19,837
  • Total number of posts, n = 875,151
  • Number of posts per user, mean (SD) = 66.9 (75.1)
  • Posts contributed by top 1% superusers, n (%) = 426,198 (48.7)
  • Number of connections per user, mean (SD) = 17.6 (69.0)
  • Number of connections per user, median (SD) = 1.0 (69.0)

See complete information in Table 1 at https://www.jmir.org/2018/7/e238/

Dataset type

Health and disease

Dataset sub-type

Not applicable

Keywords

Provenance

Purpose of dataset collection

Study

Collection source setting

Other

Image contrast

Not stated

Biological sample availability

None/not available

Details

Publishing frequency

Other

Version

1.0.0

Modified

08/10/2024

Citation Requirements

Queen Mary University of London

Coverage

Start date

28/06/1905

End date

01/01/2016

Time lag

Not applicable

Geographic coverage

United Kingdom

Maximum age range

100

Accessibility

Language

en

Controlled vocabulary

LOCAL

Data Access Request

Dataset pipeline status

Not available

Access rights

To be determined upon data access request

Time to dataset access

Variable

Access method category

TRE/SDE

Access service description

To be determined upon data access request

Jurisdiction

GB-ENG, GB-SCT, GB-WLS

Data use limitation

General research use

Data Controller

BREATHE

Dataset Types: Health and disease


Collection Sources: Other

end of page