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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fitting parametric random effects models in very large data sets with application to VHA national data
|
|---|---|
| Published in |
BMC Medical Research Methodology, October 2012
|
| DOI | 10.1186/1471-2288-12-163 |
| Pubmed ID | |
| Authors |
Mulugeta Gebregziabher, Leonard Egede, Gregory E Gilbert, Kelly Hunt, Paul J Nietert, Patrick Mauldin |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 42% |
| Student > Ph. D. Student | 7 | 19% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 2 | 6% |
| Librarian | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 36% |
| Computer Science | 5 | 14% |
| Mathematics | 4 | 11% |
| Social Sciences | 3 | 8% |
| Nursing and Health Professions | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 3 | 8% |
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 10 August 2022.
All research outputs
#20,214,347
of 25,703,943 outputs
Outputs from BMC Medical Research Methodology
#1,932
of 2,310 outputs
Outputs of similar age
#153,266
of 202,593 outputs
Outputs of similar age from BMC Medical Research Methodology
#21
of 27 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,310 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 13th percentile – i.e., 13% 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 202,593 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.