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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman
|
|---|---|
| Published in |
Journal of General Internal Medicine, February 2023
|
| DOI | 10.1007/s11606-023-08043-4 |
| Pubmed ID | |
| Authors |
Jeremy S. Paige, Christoph I. Lee, Pin-Chieh Wang, William Hsu, Adam R. Brentnall, Anne C. Hoyt, Arash Naeim, Joann G. Elmore |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| India | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Student > Master | 2 | 15% |
| Student > Postgraduate | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Unknown | 6 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 31% |
| Computer Science | 2 | 15% |
| Psychology | 1 | 8% |
| Unknown | 6 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 269. 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 September 2023.
All research outputs
#136,436
of 25,738,558 outputs
Outputs from Journal of General Internal Medicine
#123
of 8,247 outputs
Outputs of similar age
#3,542
of 478,070 outputs
Outputs of similar age from Journal of General Internal Medicine
#7
of 155 outputs
Altmetric has tracked 25,738,558 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 8,247 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.2. This one has done particularly well, scoring higher than 98% 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 478,070 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 155 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 95% of its contemporaries.