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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room
|
---|---|
Published in |
Journal of the American Medical Informatics Association, May 2024
|
DOI | 10.1093/jamia/ocae103 |
Pubmed ID | |
Authors |
Benjamin S Glicksberg, Prem Timsina, Dhaval Patel, Ashwin Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert Freeman, Girish N Nadkarni, Eyal Klang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 56% |
Spain | 2 | 13% |
Taiwan | 1 | 6% |
Canada | 1 | 6% |
United Kingdom | 1 | 6% |
Unknown | 2 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 75% |
Scientists | 3 | 19% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 6 | 27% |
Student > Doctoral Student | 2 | 9% |
Librarian | 1 | 5% |
Other | 1 | 5% |
Student > Bachelor | 1 | 5% |
Other | 2 | 9% |
Unknown | 9 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 6 | 27% |
Computer Science | 2 | 9% |
Business, Management and Accounting | 1 | 5% |
Sports and Recreations | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Other | 0 | 0% |
Unknown | 11 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 188. 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 2024.
All research outputs
#225,894
of 26,495,046 outputs
Outputs from Journal of the American Medical Informatics Association
#32
of 3,394 outputs
Outputs of similar age
#3,177
of 324,664 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#1
of 37 outputs
Altmetric has tracked 26,495,046 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,394 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 99% 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 324,664 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 99% of its contemporaries.
We're also able to compare this research output to 37 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 97% of its contemporaries.