| Title |
A Review of the Challenges of Using Biomedical Big Data for Economic Evaluations of Precision Medicine
|
|---|---|
| Published in |
Applied Health Economics and Health Policy, April 2019
|
| DOI | 10.1007/s40258-019-00474-7 |
| Pubmed ID | |
| Authors |
Patrick Fahr, James Buchanan, Sarah Wordsworth |
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 Kingdom | 4 | 27% |
| New Zealand | 1 | 7% |
| Uruguay | 1 | 7% |
| Australia | 1 | 7% |
| Germany | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 2 | 13% |
| 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 17% |
| Student > Master | 10 | 15% |
| Researcher | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Other | 3 | 5% |
| Other | 10 | 15% |
| Unknown | 22 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 12% |
| Biochemistry, Genetics and Molecular Biology | 5 | 8% |
| Economics, Econometrics and Finance | 5 | 8% |
| Computer Science | 5 | 8% |
| Business, Management and Accounting | 3 | 5% |
| Other | 12 | 18% |
| Unknown | 28 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 09 April 2019.
All research outputs
#3,981,591
of 23,138,859 outputs
Outputs from Applied Health Economics and Health Policy
#172
of 788 outputs
Outputs of similar age
#82,942
of 351,802 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#4
of 16 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 788 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 78% 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 351,802 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 76% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.