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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Calibration: the Achilles heel of predictive analytics
|
|---|---|
| Published in |
BMC Medicine, December 2019
|
| DOI | 10.1186/s12916-019-1466-7 |
| Pubmed ID | |
| Authors |
Ben Van Calster, David J. McLernon, Maarten van Smeden, Laure Wynants, Ewout W. Steyerberg |
X Demographics
The data shown below were collected from the profiles of 332 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 | 61 | 18% |
| United Kingdom | 41 | 12% |
| Canada | 13 | 4% |
| Australia | 12 | 4% |
| Switzerland | 7 | 2% |
| Netherlands | 6 | 2% |
| Germany | 6 | 2% |
| Spain | 6 | 2% |
| Brazil | 5 | 2% |
| Other | 42 | 13% |
| Unknown | 133 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 177 | 53% |
| Scientists | 110 | 33% |
| Practitioners (doctors, other healthcare professionals) | 40 | 12% |
| Science communicators (journalists, bloggers, editors) | 2 | <1% |
| Unknown | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 678 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 678 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 122 | 18% |
| Researcher | 97 | 14% |
| Student > Master | 68 | 10% |
| Student > Bachelor | 43 | 6% |
| Other | 33 | 5% |
| Other | 108 | 16% |
| Unknown | 207 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 171 | 25% |
| Computer Science | 31 | 5% |
| Engineering | 29 | 4% |
| Mathematics | 28 | 4% |
| Biochemistry, Genetics and Molecular Biology | 24 | 4% |
| Other | 141 | 21% |
| Unknown | 254 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 208. 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 29 March 2024.
All research outputs
#191,472
of 25,770,491 outputs
Outputs from BMC Medicine
#168
of 4,091 outputs
Outputs of similar age
#4,412
of 481,487 outputs
Outputs of similar age from BMC Medicine
#4
of 55 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,091 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.2. This one has done particularly well, scoring higher than 95% 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 481,487 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 99% of its contemporaries.
We're also able to compare this research output to 55 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.