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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risk of bias of prognostic models developed using machine learning: a systematic review in oncology
|
|---|---|
| Published in |
Diagnostic and Prognostic Research, July 2022
|
| DOI | 10.1186/s41512-022-00126-w |
| Pubmed ID | |
| Authors |
Paula Dhiman, Jie Ma, Constanza L. Andaur Navarro, Benjamin Speich, Garrett Bullock, Johanna A. A. Damen, Lotty Hooft, Shona Kirtley, Richard D. Riley, Ben Van Calster, Karel G. M. Moons, Gary S. Collins |
X Demographics
The data shown below were collected from the profiles of 98 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 | 11 | 11% |
| United States | 7 | 7% |
| France | 6 | 6% |
| Japan | 5 | 5% |
| Netherlands | 4 | 4% |
| Canada | 3 | 3% |
| Spain | 3 | 3% |
| Switzerland | 2 | 2% |
| India | 2 | 2% |
| Other | 11 | 11% |
| Unknown | 44 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 55 | 56% |
| Scientists | 30 | 31% |
| Practitioners (doctors, other healthcare professionals) | 9 | 9% |
| Science communicators (journalists, bloggers, editors) | 4 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 25% |
| Student > Ph. D. Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 14 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 17% |
| Nursing and Health Professions | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 6% |
| Computer Science | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 7 | 19% |
| Unknown | 15 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 56. 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 26 April 2024.
All research outputs
#772,941
of 25,758,695 outputs
Outputs from Diagnostic and Prognostic Research
#5
of 126 outputs
Outputs of similar age
#18,579
of 439,773 outputs
Outputs of similar age from Diagnostic and Prognostic Research
#1
of 5 outputs
Altmetric has tracked 25,758,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% 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 particularly well, scoring higher than 96% 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 439,773 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 95% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them