| Title |
Prescribable mHealth apps identified from an overview of systematic reviews
|
|---|---|
| Published in |
npj Digital Medicine, May 2018
|
| DOI | 10.1038/s41746-018-0021-9 |
| Pubmed ID | |
| Authors |
Oyungerel Byambasuren, Sharon Sanders, Elaine Beller, Paul Glasziou |
X Demographics
The data shown below were collected from the profiles of 501 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 126 | 25% |
| United States | 55 | 11% |
| Australia | 32 | 6% |
| Spain | 19 | 4% |
| Ireland | 17 | 3% |
| Canada | 13 | 3% |
| Netherlands | 9 | 2% |
| France | 9 | 2% |
| Sweden | 7 | 1% |
| Other | 54 | 11% |
| Unknown | 160 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 297 | 59% |
| Scientists | 114 | 23% |
| Practitioners (doctors, other healthcare professionals) | 78 | 16% |
| Science communicators (journalists, bloggers, editors) | 11 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 433 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 433 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 68 | 16% |
| Student > Ph. D. Student | 66 | 15% |
| Student > Master | 64 | 15% |
| Other | 34 | 8% |
| Student > Bachelor | 32 | 7% |
| Other | 70 | 16% |
| Unknown | 99 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 69 | 16% |
| Psychology | 45 | 10% |
| Nursing and Health Professions | 39 | 9% |
| Computer Science | 31 | 7% |
| Social Sciences | 21 | 5% |
| Other | 97 | 22% |
| Unknown | 131 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 579. 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 21 April 2023.
All research outputs
#41,460
of 25,861,751 outputs
Outputs from npj Digital Medicine
#14
of 1,047 outputs
Outputs of similar age
#917
of 343,213 outputs
Outputs of similar age from npj Digital Medicine
#2
of 17 outputs
Altmetric has tracked 25,861,751 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,047 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one has done particularly well, scoring higher than 98% 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 343,213 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 99% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.