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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A systematic literature review of machine learning in online personal health data
|
|---|---|
| Published in |
Journal of the American Medical Informatics Association, March 2019
|
| DOI | 10.1093/jamia/ocz009 |
| Pubmed ID | |
| Authors |
Zhijun Yin, Lina M Sulieman, Bradley A Malin |
X Demographics
The data shown below were collected from the profiles of 31 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 States | 12 | 39% |
| France | 4 | 13% |
| India | 1 | 3% |
| Saudi Arabia | 1 | 3% |
| Belgium | 1 | 3% |
| Chile | 1 | 3% |
| Nigeria | 1 | 3% |
| Philippines | 1 | 3% |
| United Kingdom | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 8 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 61% |
| Scientists | 9 | 29% |
| Practitioners (doctors, other healthcare professionals) | 3 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 225 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 12% |
| Student > Master | 28 | 12% |
| Researcher | 17 | 8% |
| Student > Bachelor | 17 | 8% |
| Lecturer | 13 | 6% |
| Other | 36 | 16% |
| Unknown | 86 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 56 | 25% |
| Medicine and Dentistry | 16 | 7% |
| Nursing and Health Professions | 12 | 5% |
| Social Sciences | 10 | 4% |
| Engineering | 8 | 4% |
| Other | 30 | 13% |
| Unknown | 93 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 04 November 2019.
All research outputs
#1,870,100
of 25,385,509 outputs
Outputs from Journal of the American Medical Informatics Association
#522
of 3,303 outputs
Outputs of similar age
#42,125
of 363,975 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#15
of 68 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done well, scoring higher than 84% 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 363,975 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 88% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.