↓ Skip to main content

Social and Self-Reflective Use of a Web-Based Personally Controlled Health Management System

Overview of attention for article published in Journal of Medical Internet Research, September 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

twitter
15 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
137 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Social and Self-Reflective Use of a Web-Based Personally Controlled Health Management System
Published in
Journal of Medical Internet Research, September 2013
DOI 10.2196/jmir.2682
Pubmed ID
Authors

Annie YS Lau, Lau AY, Dunn AG, Mortimer N, Gallagher A, Proudfoot J, Andrews A, Liaw ST, Crimmins J, Arguel A, Coiera E, Adam G Dunn, Nathan Mortimer, Aideen Gallagher, Judith Proudfoot, Annie Andrews, Siaw-Teng Liaw, Jacinta Crimmins, Amaël Arguel, Enrico Coiera

Abstract

Personally controlled health management systems (PCHMSs) contain a bundle of features to help patients and consumers manage their health. However, it is unclear how consumers actually use a PCHMS in their everyday settings.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
United States 1 <1%
Australia 1 <1%
Canada 1 <1%
Unknown 131 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 19%
Student > Master 22 16%
Researcher 20 15%
Student > Doctoral Student 12 9%
Student > Bachelor 9 7%
Other 23 17%
Unknown 25 18%
Readers by discipline Count As %
Medicine and Dentistry 23 17%
Social Sciences 20 15%
Psychology 20 15%
Computer Science 18 13%
Nursing and Health Professions 12 9%
Other 15 11%
Unknown 29 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 January 2014.
All research outputs
#3,397,539
of 21,347,849 outputs
Outputs from Journal of Medical Internet Research
#2,654
of 6,303 outputs
Outputs of similar age
#30,129
of 186,266 outputs
Outputs of similar age from Journal of Medical Internet Research
#1
of 1 outputs
Altmetric has tracked 21,347,849 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.3. This one has gotten more attention than average, scoring higher than 57% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 186,266 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them