| Title |
Adjusting for time-varying confounding in the subdistribution analysis of a competing risk
|
|---|---|
| Published in |
Lifetime Data Analysis, October 2009
|
| DOI | 10.1007/s10985-009-9130-8 |
| Pubmed ID | |
| Authors |
Maarten Bekaert, Stijn Vansteelandt, Karl Mertens |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 41 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 26% |
| Researcher | 10 | 24% |
| Student > Bachelor | 4 | 10% |
| Other | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 31% |
| Mathematics | 9 | 21% |
| Agricultural and Biological Sciences | 4 | 10% |
| Business, Management and Accounting | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 10 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 09 January 2021.
All research outputs
#3,651,818
of 22,873,031 outputs
Outputs from Lifetime Data Analysis
#7
of 120 outputs
Outputs of similar age
#14,531
of 93,692 outputs
Outputs of similar age from Lifetime Data Analysis
#1
of 2 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 120 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done particularly well, scoring higher than 94% 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 93,692 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them