| Title |
Statistical analysis of repeated microRNA high-throughput data with application to human heart failure: a review of methodology
|
|---|---|
| Published in |
Open Access Medical Statistics, April 2012
|
| DOI | 10.2147/oams.s27907 |
| Pubmed ID | |
| Authors |
Shesh N Rai, Herman E Ray, Xiaobin Yuan, Jianmin Pan, Tariq Hamid, Sumanth D Prabhu |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 11% |
| Russia | 1 | 6% |
| Canada | 1 | 6% |
| Unknown | 14 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 22% |
| Researcher | 4 | 22% |
| Student > Doctoral Student | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Bachelor | 1 | 6% |
| Other | 4 | 22% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 50% |
| Biochemistry, Genetics and Molecular Biology | 3 | 17% |
| Medicine and Dentistry | 3 | 17% |
| Mathematics | 1 | 6% |
| Veterinary Science and Veterinary Medicine | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 1 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 April 2012.
All research outputs
#7,414,686
of 22,671,366 outputs
Outputs from Open Access Medical Statistics
#2
of 17 outputs
Outputs of similar age
#52,613
of 160,893 outputs
Outputs of similar age from Open Access Medical Statistics
#1
of 1 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17 research outputs from this source. They receive a mean Attention Score of 1.4. This one scored the same or higher as 15 of them.
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 160,893 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them