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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care
|
|---|---|
| Published in |
Frontiers in Digital Health, July 2022
|
| DOI | 10.3389/fdgth.2022.942588 |
| Pubmed ID | |
| Authors |
Richard Bartels, Jeroen Dudink, Saskia Haitjema, Daniel Oberski, Annemarie van ‘t Veen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 12% |
| Netherlands | 2 | 12% |
| Comoros | 1 | 6% |
| Brazil | 1 | 6% |
| United Kingdom | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 9 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Scientists | 2 | 12% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 12% |
| Student > Ph. D. Student | 6 | 8% |
| Researcher | 4 | 5% |
| Student > Doctoral Student | 4 | 5% |
| Other | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 42 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 12% |
| Agricultural and Biological Sciences | 4 | 5% |
| Computer Science | 4 | 5% |
| Engineering | 3 | 4% |
| Nursing and Health Professions | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 43 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 19 August 2022.
All research outputs
#4,878,749
of 26,488,282 outputs
Outputs from Frontiers in Digital Health
#193
of 910 outputs
Outputs of similar age
#96,257
of 443,696 outputs
Outputs of similar age from Frontiers in Digital Health
#26
of 78 outputs
Altmetric has tracked 26,488,282 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 910 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 78% 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 443,696 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 78% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.