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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Flexible parametric modelling of cause-specific hazards to estimate cumulative incidence functions
|
|---|---|
| Published in |
BMC Medical Research Methodology, February 2013
|
| DOI | 10.1186/1471-2288-13-13 |
| Pubmed ID | |
| Authors |
Sally R Hinchliffe, Paul C Lambert |
| Abstract |
Competing risks are a common occurrence in survival analysis. They arise when a patient is at risk of more than one mutually exclusive event, such as death from different causes, and the occurrence of one of these may prevent any other event from ever happening. |
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 % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| China | 1 | 1% |
| Malawi | 1 | 1% |
| Unknown | 85 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 26% |
| Researcher | 14 | 16% |
| Student > Doctoral Student | 8 | 9% |
| Other | 8 | 9% |
| Student > Master | 6 | 7% |
| Other | 11 | 12% |
| Unknown | 19 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 39% |
| Mathematics | 14 | 16% |
| Agricultural and Biological Sciences | 3 | 3% |
| Economics, Econometrics and Finance | 3 | 3% |
| Decision Sciences | 2 | 2% |
| Other | 11 | 12% |
| Unknown | 21 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 February 2013.
All research outputs
#14,161,257
of 22,694,633 outputs
Outputs from BMC Medical Research Methodology
#1,373
of 2,001 outputs
Outputs of similar age
#168,001
of 282,949 outputs
Outputs of similar age from BMC Medical Research Methodology
#24
of 34 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,001 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 28th percentile – i.e., 28% 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 282,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.