| Title |
The relationship between statistical power and predictor distribution in multilevel logistic regression: a simulation-based approach
|
|---|---|
| Published in |
BMC Medical Research Methodology, May 2019
|
| DOI | 10.1186/s12874-019-0742-8 |
| Pubmed ID | |
| Authors |
Oscar L. Olvera Astivia, Anne Gadermann, Martin Guhn |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 25% |
| United States | 2 | 25% |
| Venezuela, Bolivarian Republic of | 1 | 13% |
| Brazil | 1 | 13% |
| Denmark | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 23% |
| Researcher | 19 | 18% |
| Student > Bachelor | 8 | 8% |
| Student > Master | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 13 | 13% |
| Unknown | 27 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 24% |
| Social Sciences | 9 | 9% |
| Medicine and Dentistry | 7 | 7% |
| Nursing and Health Professions | 5 | 5% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 19 | 18% |
| Unknown | 36 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 07 October 2019.
All research outputs
#7,219,424
of 25,837,817 outputs
Outputs from BMC Medical Research Methodology
#1,060
of 2,318 outputs
Outputs of similar age
#123,103
of 366,971 outputs
Outputs of similar age from BMC Medical Research Methodology
#31
of 56 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,318 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 gotten more attention than average, scoring higher than 53% 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 366,971 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.