The data shown below were collected from the profiles of 250 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Large language models propagate race-based medicine
|
---|---|
Published in |
npj Digital Medicine, October 2023
|
DOI | 10.1038/s41746-023-00939-z |
Pubmed ID | |
Authors |
Jesutofunmi A. Omiye, Jenna C. Lester, Simon Spichak, Veronica Rotemberg, Roxana Daneshjou |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 58 | 23% |
United Kingdom | 17 | 7% |
Spain | 9 | 4% |
Canada | 6 | 2% |
Argentina | 5 | 2% |
France | 4 | 2% |
Ireland | 3 | 1% |
Nigeria | 3 | 1% |
India | 3 | 1% |
Other | 34 | 14% |
Unknown | 108 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 157 | 63% |
Scientists | 60 | 24% |
Practitioners (doctors, other healthcare professionals) | 15 | 6% |
Science communicators (journalists, bloggers, editors) | 14 | 6% |
Unknown | 4 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 72 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 10% |
Student > Ph. D. Student | 6 | 8% |
Student > Postgraduate | 5 | 7% |
Student > Doctoral Student | 4 | 6% |
Professor | 4 | 6% |
Other | 14 | 19% |
Unknown | 32 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 13% |
Medicine and Dentistry | 9 | 13% |
Social Sciences | 3 | 4% |
Psychology | 3 | 4% |
Nursing and Health Professions | 2 | 3% |
Other | 11 | 15% |
Unknown | 35 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1493. 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 03 October 2024.
All research outputs
#8,550
of 26,793,597 outputs
Outputs from npj Digital Medicine
#2
of 1,186 outputs
Outputs of similar age
#189
of 375,361 outputs
Outputs of similar age from npj Digital Medicine
#1
of 63 outputs
Altmetric has tracked 26,793,597 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 1,186 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 53.9. 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 375,361 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 63 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 98% of its contemporaries.