| Title |
Systematic review of the evidence on the cost-effectiveness of pharmacogenomics-guided treatment for cardiovascular diseases
|
|---|---|
| Published in |
Genetics in Medicine, October 2019
|
| DOI | 10.1038/s41436-019-0667-y |
| Pubmed ID | |
| Authors |
Ye Zhu, Kristi M. Swanson, Ricardo L. Rojas, Zhen Wang, Jennifer L. St. Sauver, Sue L. Visscher, Larry J. Prokop, Suzette J. Bielinski, Liewei Wang, Richard Weinshilboum, Bijan J. Borah |
X Demographics
The data shown below were collected from the profiles of 15 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 | 3 | 20% |
| United Kingdom | 3 | 20% |
| Israel | 1 | 7% |
| Congo, The Democratic Republic of the | 1 | 7% |
| Taiwan | 1 | 7% |
| Brazil | 1 | 7% |
| Australia | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 47% |
| Members of the public | 6 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 156 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 15% |
| Student > Bachelor | 23 | 15% |
| Student > Ph. D. Student | 15 | 10% |
| Other | 11 | 7% |
| Researcher | 7 | 4% |
| Other | 16 | 10% |
| Unknown | 60 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 33 | 21% |
| Pharmacology, Toxicology and Pharmaceutical Science | 19 | 12% |
| Medicine and Dentistry | 16 | 10% |
| Nursing and Health Professions | 4 | 3% |
| Economics, Econometrics and Finance | 4 | 3% |
| Other | 16 | 10% |
| Unknown | 64 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 10 February 2021.
All research outputs
#4,282,008
of 25,385,509 outputs
Outputs from Genetics in Medicine
#1,310
of 2,945 outputs
Outputs of similar age
#81,680
of 366,057 outputs
Outputs of similar age from Genetics in Medicine
#27
of 47 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has gotten more attention than average, scoring higher than 55% 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 366,057 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 77% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.