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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A qualitative research framework for the design of user-centered displays of explanations for machine learning model predictions in healthcare
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2020
|
| DOI | 10.1186/s12911-020-01276-x |
| Pubmed ID | |
| Authors |
Amie J. Barda, Christopher M. Horvat, Harry Hochheiser |
X Demographics
The data shown below were collected from the profiles of 10 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 | 6 | 60% |
| India | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 187 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 187 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 11% |
| Student > Master | 18 | 10% |
| Researcher | 15 | 8% |
| Unspecified | 13 | 7% |
| Student > Doctoral Student | 10 | 5% |
| Other | 38 | 20% |
| Unknown | 73 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 13% |
| Medicine and Dentistry | 15 | 8% |
| Nursing and Health Professions | 14 | 7% |
| Unspecified | 13 | 7% |
| Social Sciences | 9 | 5% |
| Other | 30 | 16% |
| Unknown | 82 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 October 2020.
All research outputs
#4,530,126
of 23,248,929 outputs
Outputs from BMC Medical Informatics and Decision Making
#400
of 2,022 outputs
Outputs of similar age
#111,268
of 415,365 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#11
of 46 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,022 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 80% 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 415,365 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.