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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating causal effects of time-dependent exposures on a binary endpoint in a high-dimensional setting
|
|---|---|
| Published in |
BMC Medical Research Methodology, July 2018
|
| DOI | 10.1186/s12874-018-0527-5 |
| Pubmed ID | |
| Authors |
Vahé Asvatourian, Clélia Coutzac, Nathalie Chaput, Caroline Robert, Stefan Michiels, Emilie Lanoy |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Researcher | 3 | 14% |
| Other | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Student > Master | 2 | 10% |
| Other | 3 | 14% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 24% |
| Mathematics | 4 | 19% |
| Agricultural and Biological Sciences | 2 | 10% |
| Engineering | 2 | 10% |
| Computer Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 July 2018.
All research outputs
#20,588,763
of 23,173,635 outputs
Outputs from BMC Medical Research Methodology
#1,907
of 2,045 outputs
Outputs of similar age
#287,588
of 328,094 outputs
Outputs of similar age from BMC Medical Research Methodology
#40
of 41 outputs
Altmetric has tracked 23,173,635 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 1st percentile – i.e., 1% 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 328,094 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.