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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 307 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 | 290 | 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 | 61 | 20% |
| Unknown | 51 | 17% |
| 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 | 42 | 14% |
| Unknown | 73 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 14 May 2024.
All research outputs
#1,906,230
of 25,904,557 outputs
Outputs from BMC Medical Informatics and Decision Making
#94
of 2,169 outputs
Outputs of similar age
#7,584
of 181,440 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 13 outputs
Altmetric has tracked 25,904,557 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,169 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 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 181,440 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 13 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.