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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Time-dependent ROC curve analysis in medical research: current methods and applications
|
|---|---|
| Published in |
BMC Medical Research Methodology, April 2017
|
| DOI | 10.1186/s12874-017-0332-6 |
| Pubmed ID | |
| Authors |
Adina Najwa Kamarudin, Trevor Cox, Ruwanthi Kolamunnage-Dona |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Japan | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 378 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 376 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 63 | 17% |
| Student > Ph. D. Student | 59 | 16% |
| Student > Master | 32 | 8% |
| Student > Bachelor | 30 | 8% |
| Student > Doctoral Student | 22 | 6% |
| Other | 60 | 16% |
| Unknown | 112 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 95 | 25% |
| Mathematics | 23 | 6% |
| Biochemistry, Genetics and Molecular Biology | 19 | 5% |
| Computer Science | 18 | 5% |
| Agricultural and Biological Sciences | 17 | 4% |
| Other | 62 | 16% |
| Unknown | 144 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 31 March 2022.
All research outputs
#15,232,080
of 26,017,215 outputs
Outputs from BMC Medical Research Methodology
#1,419
of 2,318 outputs
Outputs of similar age
#168,367
of 328,486 outputs
Outputs of similar age from BMC Medical Research Methodology
#29
of 41 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 328,486 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.