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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Harnessing repeated measurements of predictor variables for clinical risk prediction: a review of existing methods
|
|---|---|
| Published in |
Diagnostic and Prognostic Research, July 2020
|
| DOI | 10.1186/s41512-020-00078-z |
| Pubmed ID | |
| Authors |
Lucy M. Bull, Mark Lunt, Glen P. Martin, Kimme Hyrich, Jamie C. Sergeant |
X Demographics
The data shown below were collected from the profiles of 48 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 | 19 | 40% |
| United States | 3 | 6% |
| Spain | 2 | 4% |
| Australia | 1 | 2% |
| South Africa | 1 | 2% |
| Canada | 1 | 2% |
| Belgium | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 19 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 52% |
| Scientists | 22 | 46% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 23% |
| Student > Ph. D. Student | 14 | 20% |
| Student > Doctoral Student | 6 | 9% |
| Student > Master | 6 | 9% |
| Other | 4 | 6% |
| Other | 8 | 11% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 20% |
| Engineering | 5 | 7% |
| Computer Science | 4 | 6% |
| Mathematics | 4 | 6% |
| Social Sciences | 4 | 6% |
| Other | 16 | 23% |
| Unknown | 23 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 23 August 2022.
All research outputs
#1,369,540
of 25,884,216 outputs
Outputs from Diagnostic and Prognostic Research
#13
of 126 outputs
Outputs of similar age
#38,348
of 431,693 outputs
Outputs of similar age from Diagnostic and Prognostic Research
#3
of 4 outputs
Altmetric has tracked 25,884,216 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 126 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done well, scoring higher than 89% 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 431,693 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.