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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study
|
|---|---|
| Published in |
Journal of the American Medical Informatics Association, March 2012
|
| DOI | 10.1136/amiajnl-2011-000439 |
| Pubmed ID | |
| Authors |
Abel N Kho, M Geoffrey Hayes, Laura Rasmussen-Torvik, Jennifer A Pacheco, William K Thompson, Loren L Armstrong, Joshua C Denny, Peggy L Peissig, Aaron W Miller, Wei-Qi Wei, Suzette J Bielinski, Christopher G Chute, Cynthia L Leibson, Gail P Jarvik, David R Crosslin, Christopher S Carlson, Katherine M Newton, Wendy A Wolf, Rex L Chisholm, William L Lowe |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Australia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 3% |
| Canada | 2 | <1% |
| Nigeria | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 213 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 19% |
| Student > Ph. D. Student | 39 | 17% |
| Student > Master | 20 | 9% |
| Professor > Associate Professor | 14 | 6% |
| Other | 13 | 6% |
| Other | 56 | 25% |
| Unknown | 38 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 51 | 23% |
| Computer Science | 30 | 13% |
| Agricultural and Biological Sciences | 26 | 12% |
| Biochemistry, Genetics and Molecular Biology | 22 | 10% |
| Engineering | 9 | 4% |
| Other | 34 | 15% |
| Unknown | 51 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 08 December 2021.
All research outputs
#3,436,561
of 26,017,215 outputs
Outputs from Journal of the American Medical Informatics Association
#951
of 3,349 outputs
Outputs of similar age
#20,605
of 172,372 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#6
of 38 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,349 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 gotten more attention than average, scoring higher than 71% 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 172,372 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.