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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating methods for Lasso selective inference in biomedical research: a comparative simulation study
|
|---|---|
| Published in |
BMC Medical Research Methodology, July 2022
|
| DOI | 10.1186/s12874-022-01681-y |
| Pubmed ID | |
| Authors |
Michael Kammer, Daniela Dunkler, Stefan Michiels, Georg Heinze |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| France | 1 | 10% |
| Norway | 1 | 10% |
| Japan | 1 | 10% |
| Netherlands | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Student > Bachelor | 4 | 24% |
| Professor > Associate Professor | 3 | 18% |
| Unknown | 6 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 24% |
| Mathematics | 3 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Decision Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 27 July 2022.
All research outputs
#5,706,577
of 23,509,982 outputs
Outputs from BMC Medical Research Methodology
#798
of 2,074 outputs
Outputs of similar age
#104,664
of 432,763 outputs
Outputs of similar age from BMC Medical Research Methodology
#13
of 43 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 61% 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 432,763 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 75% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.