The data shown below were collected from the profiles of 51 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review
|
|---|---|
| Published in |
BMC Medical Research Methodology, August 2023
|
| DOI | 10.1186/s12874-023-02008-1 |
| Pubmed ID | |
| Authors |
Paula Dhiman, Jie Ma, Cathy Qi, Garrett Bullock, Jamie C Sergeant, Richard D Riley, Gary S Collins |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Zimbabwe | 1 | 2% |
| Germany | 1 | 2% |
| Canada | 1 | 2% |
| Italy | 1 | 2% |
| India | 1 | 2% |
| Poland | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 42 | 82% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 55% |
| Scientists | 13 | 25% |
| Practitioners (doctors, other healthcare professionals) | 8 | 16% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Student > Ph. D. Student | 5 | 15% |
| Other | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Lecturer | 3 | 9% |
| Other | 3 | 9% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 4 | 12% |
| Medicine and Dentistry | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Chemistry | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 9 | 27% |
| Unknown | 11 | 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 15 June 2024.
All research outputs
#1,406,088
of 26,322,284 outputs
Outputs from BMC Medical Research Methodology
#154
of 2,371 outputs
Outputs of similar age
#24,809
of 365,443 outputs
Outputs of similar age from BMC Medical Research Methodology
#3
of 39 outputs
Altmetric has tracked 26,322,284 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 2,371 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 93% 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 365,443 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 93% of its contemporaries.
We're also able to compare this research output to 39 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 92% of its contemporaries.