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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Instrumental variable estimation for a time-varying treatment and a time-to-event outcome via structural nested cumulative failure time models
|
|---|---|
| Published in |
BMC Medical Research Methodology, November 2021
|
| DOI | 10.1186/s12874-021-01449-w |
| Pubmed ID | |
| Authors |
Joy Shi, Sonja A. Swanson, Peter Kraft, Bernard Rosner, Immaculata De Vivo, Miguel A. Hernán |
X Demographics
The data shown below were collected from the profiles of 21 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 | 7 | 33% |
| United Kingdom | 2 | 10% |
| Australia | 1 | 5% |
| Spain | 1 | 5% |
| Brazil | 1 | 5% |
| Norway | 1 | 5% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 52% |
| Scientists | 9 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Mathematics | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 4 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 January 2022.
All research outputs
#1,756,029
of 25,245,273 outputs
Outputs from BMC Medical Research Methodology
#222
of 2,254 outputs
Outputs of similar age
#41,415
of 517,346 outputs
Outputs of similar age from BMC Medical Research Methodology
#6
of 55 outputs
Altmetric has tracked 25,245,273 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,254 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 90% 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 517,346 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 91% of its contemporaries.
We're also able to compare this research output to 55 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 90% of its contemporaries.