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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Empowering personalized pharmacogenomics with generative AI solutions
|
|---|---|
| Published in |
Journal of the American Medical Informatics Association, March 2024
|
| DOI | 10.1093/jamia/ocae039 |
| Pubmed ID | |
| Authors |
Mullai Murugan, Bo Yuan, Eric Venner, Christie M Ballantyne, Katherine M Robinson, James C Coons, Liwen Wang, Philip E Empey, Richard A Gibbs |
X Demographics
The data shown below were collected from the profiles of 14 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 | 11 | 79% |
| Spain | 1 | 7% |
| Unknown | 2 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 2 | 14% |
| Practitioners (doctors, other healthcare professionals) | 2 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer > Senior Lecturer | 1 | 50% |
| Lecturer | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 50% |
| Computer Science | 1 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 06 April 2024.
All research outputs
#1,785,303
of 25,654,806 outputs
Outputs from Journal of the American Medical Informatics Association
#495
of 3,332 outputs
Outputs of similar age
#19,988
of 268,545 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#5
of 43 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,332 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done well, scoring higher than 85% 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 268,545 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 92% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.