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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review
|
|---|---|
| Published in |
BMC Medical Research Methodology, April 2022
|
| DOI | 10.1186/s12874-022-01577-x |
| 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 103 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 | 11 | 11% |
| United Kingdom | 8 | 8% |
| France | 4 | 4% |
| Australia | 3 | 3% |
| Netherlands | 3 | 3% |
| Canada | 2 | 2% |
| South Africa | 2 | 2% |
| Brazil | 2 | 2% |
| Germany | 2 | 2% |
| Other | 18 | 17% |
| Unknown | 48 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 54 | 52% |
| Scientists | 39 | 38% |
| Practitioners (doctors, other healthcare professionals) | 9 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 14 | 16% |
| Researcher | 13 | 15% |
| Student > Ph. D. Student | 9 | 10% |
| Student > Master | 7 | 8% |
| Student > Bachelor | 4 | 5% |
| Other | 14 | 16% |
| Unknown | 25 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 14 | 16% |
| Medicine and Dentistry | 12 | 14% |
| Computer Science | 6 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Nursing and Health Professions | 4 | 5% |
| Other | 17 | 20% |
| Unknown | 29 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 57. 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 02 February 2024.
All research outputs
#761,985
of 25,663,438 outputs
Outputs from BMC Medical Research Methodology
#59
of 2,304 outputs
Outputs of similar age
#19,423
of 449,692 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 67 outputs
Altmetric has tracked 25,663,438 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 2,304 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 97% 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 449,692 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 67 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.