The data shown below were collected from the profiles of 57 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
Why is it so difficult to govern mobile apps in healthcare?
|
|---|---|
| Published in |
BMJ Health & Care Informatics, November 2019
|
| DOI | 10.1136/bmjhci-2019-100006 |
| Pubmed ID | |
| Authors |
Farah Magrabi, Ibrahim Habli, Mark Sujan, David Wong, Harold Thimbleby, Maureen Baker, Enrico Coiera |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 11 | 19% |
| Australia | 10 | 18% |
| Saudi Arabia | 2 | 4% |
| United States | 1 | 2% |
| Kenya | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 31 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 58% |
| Scientists | 15 | 26% |
| Practitioners (doctors, other healthcare professionals) | 5 | 9% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
| Unknown | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 11% |
| Researcher | 6 | 8% |
| Other | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Student > Postgraduate | 4 | 5% |
| Other | 16 | 21% |
| Unknown | 32 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 9 | 12% |
| Medicine and Dentistry | 9 | 12% |
| Computer Science | 9 | 12% |
| Nursing and Health Professions | 3 | 4% |
| Engineering | 2 | 3% |
| Other | 14 | 18% |
| Unknown | 30 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 02 February 2023.
All research outputs
#1,126,872
of 26,588,416 outputs
Outputs from BMJ Health & Care Informatics
#26
of 517 outputs
Outputs of similar age
#26,010
of 483,128 outputs
Outputs of similar age from BMJ Health & Care Informatics
#3
of 15 outputs
Altmetric has tracked 26,588,416 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 517 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done particularly well, scoring higher than 94% 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 483,128 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.