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.
X Demographics
Mendeley readers
Attention Score in Context
| 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, 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. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 20% |
| United States | 3 | 20% |
| France | 1 | 7% |
| Lebanon | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 40% |
| Scientists | 5 | 33% |
| Practitioners (doctors, other healthcare professionals) | 4 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 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 | 142 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 19% |
| Student > Master | 23 | 16% |
| Researcher | 20 | 14% |
| Student > Bachelor | 13 | 9% |
| Student > Doctoral Student | 12 | 8% |
| Other | 20 | 14% |
| Unknown | 32 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 18% |
| Psychology | 23 | 16% |
| Social Sciences | 21 | 14% |
| Computer Science | 15 | 10% |
| Nursing and Health Professions | 13 | 9% |
| Other | 14 | 9% |
| Unknown | 36 | 24% |
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
#4,252,270
of 25,374,917 outputs
Outputs from Journal of Medical Internet Research
#3,146
of 7,867 outputs
Outputs of similar age
#35,946
of 214,767 outputs
Outputs of similar age from Journal of Medical Internet Research
#50
of 86 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,867 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one has gotten more attention than average, scoring higher than 59% 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 214,767 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 86 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.