| Title |
Incorporating sampling weights into robust estimation of Cox proportional hazards regression model, with illustration in the Multi-Ethnic Study of Atherosclerosis
|
|---|---|
| Published in |
BMC Medical Research Methodology, March 2020
|
| DOI | 10.1186/s12874-020-00945-9 |
| Pubmed ID | |
| Authors |
Colleen M. Sitlani, Thomas Lumley, Barbara McKnight, Kenneth M. Rice, Nels C. Olson, Margaret F. Doyle, Sally A. Huber, Russell P. Tracy, Bruce M. Psaty, Joseph A. C. Delaney |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 14% |
| Student > Postgraduate | 2 | 14% |
| Student > Master | 2 | 14% |
| Student > Doctoral Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 3 | 21% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 14% |
| Medicine and Dentistry | 2 | 14% |
| Mathematics | 1 | 7% |
| Computer Science | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 139. 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 03 March 2023.
All research outputs
#302,342
of 25,738,558 outputs
Outputs from BMC Medical Research Methodology
#20
of 2,312 outputs
Outputs of similar age
#8,804
of 392,122 outputs
Outputs of similar age from BMC Medical Research Methodology
#2
of 58 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,312 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 99% 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 392,122 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 97% of its contemporaries.
We're also able to compare this research output to 58 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 96% of its contemporaries.