| Title |
When predictions are used to allocate scarce health care resources: three considerations for models in the era of Covid-19
|
|---|---|
| Published in |
Diagnostic and Prognostic Research, May 2020
|
| DOI | 10.1186/s41512-020-00079-y |
| Pubmed ID | |
| Authors |
David M. Kent, Jessica K. Paulus, Richard R. Sharp, Negin Hajizadeh |
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 | 5 | 45% |
| United Kingdom | 2 | 18% |
| Italy | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
| Scientists | 1 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 8 | 13% |
| Researcher | 8 | 13% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 5 | 8% |
| Other | 15 | 23% |
| Unknown | 15 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 33% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Nursing and Health Professions | 3 | 5% |
| Computer Science | 3 | 5% |
| Engineering | 3 | 5% |
| Other | 13 | 20% |
| Unknown | 17 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 16 June 2020.
All research outputs
#4,696,551
of 23,208,901 outputs
Outputs from Diagnostic and Prognostic Research
#46
of 113 outputs
Outputs of similar age
#111,791
of 390,216 outputs
Outputs of similar age from Diagnostic and Prognostic Research
#4
of 6 outputs
Altmetric has tracked 23,208,901 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 113 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 59% 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 390,216 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 71% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.