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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Extensions to decision curve analysis, a novel method for evaluating diagnostic tests, prediction models and molecular markers
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2008
|
| DOI | 10.1186/1472-6947-8-53 |
| Pubmed ID | |
| Authors |
Andrew J Vickers, Angel M Cronin, Elena B Elkin, Mithat Gonen |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Belgium | 1 | 33% |
| India | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 308 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| United Kingdom | 2 | <1% |
| Australia | 2 | <1% |
| Canada | 2 | <1% |
| Vietnam | 1 | <1% |
| France | 1 | <1% |
| Bangladesh | 1 | <1% |
| Netherlands | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 291 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 75 | 24% |
| Student > Ph. D. Student | 51 | 17% |
| Professor > Associate Professor | 24 | 8% |
| Student > Master | 24 | 8% |
| Student > Doctoral Student | 21 | 7% |
| Other | 67 | 22% |
| Unknown | 46 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 130 | 42% |
| Agricultural and Biological Sciences | 22 | 7% |
| Computer Science | 18 | 6% |
| Mathematics | 14 | 5% |
| Nursing and Health Professions | 8 | 3% |
| Other | 48 | 16% |
| Unknown | 68 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 August 2021.
All research outputs
#2,844,106
of 26,017,215 outputs
Outputs from BMC Medical Informatics and Decision Making
#188
of 2,164 outputs
Outputs of similar age
#12,786
of 184,642 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 13 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 91% 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 184,642 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 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.