| Title |
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
|
|---|---|
| Published in |
British Medical Journal, April 2024
|
| DOI | 10.1136/bmj-2023-078378 |
| Pubmed ID | |
| Authors |
Gary S Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair K Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, André Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal A Mateen, Melissa D McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep Singh, Laure Wynants, Patricia Logullo |
X Demographics
The data shown below were collected from the profiles of 404 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 | 59 | 15% |
| United States | 58 | 14% |
| Canada | 16 | 4% |
| Germany | 15 | 4% |
| Japan | 12 | 3% |
| Australia | 10 | 2% |
| France | 8 | 2% |
| Spain | 6 | 1% |
| Netherlands | 6 | 1% |
| Other | 72 | 18% |
| Unknown | 142 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 203 | 50% |
| Scientists | 152 | 38% |
| Practitioners (doctors, other healthcare professionals) | 42 | 10% |
| Science communicators (journalists, bloggers, editors) | 7 | 2% |
Attention Score in Context
This research output has an Altmetric Attention Score of 249. 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 03 May 2024.
All research outputs
#152,942
of 25,839,971 outputs
Outputs from British Medical Journal
#2,212
of 65,136 outputs
Outputs of similar age
#1,239
of 203,439 outputs
Outputs of similar age from British Medical Journal
#15
of 512 outputs
Altmetric has tracked 25,839,971 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 65,136 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.2. 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 203,439 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 512 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 97% of its contemporaries.