You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
Title |
Leveraging explainable artificial intelligence to optimize clinical decision support
|
---|---|
Published in |
Journal of the American Medical Informatics Association, February 2024
|
DOI | 10.1093/jamia/ocae019 |
Pubmed ID | |
Authors |
Siru Liu, Allison B McCoy, Josh F Peterson, Thomas A Lasko, Dean F Sittig, Scott D Nelson, Jennifer Andrews, Lorraine Patterson, Cheryl M Cobb, David Mulherin, Colleen T Morton, Adam Wright |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 4 | 27% |
Student > Doctoral Student | 3 | 20% |
Researcher | 2 | 13% |
Other | 2 | 13% |
Professor | 1 | 7% |
Other | 1 | 7% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 5 | 33% |
Medicine and Dentistry | 3 | 20% |
Computer Science | 2 | 13% |
Earth and Planetary Sciences | 1 | 7% |
Business, Management and Accounting | 1 | 7% |
Other | 0 | 0% |
Unknown | 3 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 70. 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 26 February 2024.
All research outputs
#612,394
of 25,364,936 outputs
Outputs from Journal of the American Medical Informatics Association
#104
of 3,300 outputs
Outputs of similar age
#4,132
of 160,761 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#1
of 18 outputs
Altmetric has tracked 25,364,936 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 3,300 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 particularly well, scoring higher than 96% 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 160,761 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 97% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.