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Mendeley readers
Attention Score in Context
| Title |
Optimal likelihood-ratio multiple testing with application to Alzheimer’s disease and questionable dementia
|
|---|---|
| Published in |
BMC Medical Research Methodology, January 2015
|
| DOI | 10.1186/1471-2288-15-9 |
| Pubmed ID | |
| Authors |
Donghwan Lee, Hyejin Kang, Eunkyung Kim, Hyekyoung Lee, Heejung Kim, Yu Kyeong Kim, Youngjo Lee, Dong Soo Lee |
| Abstract |
Controlling the false discovery rate is important when testing multiple hypotheses. To enhance the detection capability of a false discovery rate control test, we applied the likelihood ratio-based multiple testing method in neuroimage data and compared the performance with the existing methods. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 13% |
| Researcher | 3 | 13% |
| Lecturer | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Professor | 2 | 9% |
| Other | 4 | 17% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 4 | 17% |
| Medicine and Dentistry | 4 | 17% |
| Psychology | 4 | 17% |
| Nursing and Health Professions | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 7 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 30 January 2015.
All research outputs
#4,171,144
of 22,787,797 outputs
Outputs from BMC Medical Research Methodology
#687
of 2,012 outputs
Outputs of similar age
#60,526
of 353,056 outputs
Outputs of similar age from BMC Medical Research Methodology
#11
of 26 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,012 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 65% 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 353,056 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 81% of its contemporaries.
We're also able to compare this research output to 26 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 53% of its contemporaries.