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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Utilizing a user-centered approach to develop and assess pharmacogenomic clinical decision support for thiopurine methyltransferase
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, October 2019
|
| DOI | 10.1186/s12911-019-0919-4 |
| Pubmed ID | |
| Authors |
Khoa A. Nguyen, Himalaya Patel, David A. Haggstrom, Alan J. Zillich, Thomas F. Imperiale, Alissa L. Russ |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Germany | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 15% |
| Student > Bachelor | 7 | 12% |
| Researcher | 6 | 10% |
| Student > Doctoral Student | 5 | 8% |
| Unspecified | 4 | 7% |
| Other | 14 | 23% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 17% |
| Nursing and Health Professions | 7 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 10% |
| Unspecified | 4 | 7% |
| Social Sciences | 4 | 7% |
| Other | 11 | 18% |
| Unknown | 18 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 December 2019.
All research outputs
#7,500,946
of 23,177,498 outputs
Outputs from BMC Medical Informatics and Decision Making
#757
of 2,016 outputs
Outputs of similar age
#135,603
of 355,480 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#13
of 38 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,016 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 61% 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 355,480 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% 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 gotten more attention than average, scoring higher than 65% of its contemporaries.