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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinician checklist for assessing suitability of machine learning applications in healthcare
|
|---|---|
| Published in |
BMJ Health & Care Informatics, February 2021
|
| DOI | 10.1136/bmjhci-2020-100251 |
| Pubmed ID | |
| Authors |
Ian Scott, Stacy Carter, Enrico Coiera |
Twitter Demographics
The data shown below were collected from the profiles of 40 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 6 | 15% |
| United States | 5 | 13% |
| United Kingdom | 5 | 13% |
| India | 2 | 5% |
| Norway | 1 | 3% |
| Japan | 1 | 3% |
| Taiwan | 1 | 3% |
| Saudi Arabia | 1 | 3% |
| Unknown | 18 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 55% |
| Scientists | 10 | 25% |
| Practitioners (doctors, other healthcare professionals) | 7 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 15% |
| Student > Ph. D. Student | 12 | 11% |
| Student > Master | 11 | 10% |
| Student > Doctoral Student | 10 | 9% |
| Other | 5 | 4% |
| Other | 19 | 17% |
| Unknown | 38 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 13% |
| Nursing and Health Professions | 8 | 7% |
| Computer Science | 8 | 7% |
| Business, Management and Accounting | 5 | 4% |
| Agricultural and Biological Sciences | 5 | 4% |
| Other | 30 | 27% |
| Unknown | 42 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 77. 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 June 2023.
All research outputs
#521,088
of 24,469,913 outputs
Outputs from BMJ Health & Care Informatics
#8
of 303 outputs
Outputs of similar age
#15,529
of 515,888 outputs
Outputs of similar age from BMJ Health & Care Informatics
#3
of 12 outputs
Altmetric has tracked 24,469,913 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has done particularly well, scoring higher than 97% 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 515,888 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 96% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.