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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A scan statistic to extract causal gene clusters from case-control genome-wide rare CNV data
|
|---|---|
| Published in |
BMC Bioinformatics, May 2011
|
| DOI | 10.1186/1471-2105-12-205 |
| Pubmed ID | |
| Authors |
Takeshi Nishiyama, Kunihiko Takahashi, Toshiro Tango, Dalila Pinto, Stephen W Scherer, Satoshi Takami, Hirohisa Kishino |
| Abstract |
Several statistical tests have been developed for analyzing genome-wide association data by incorporating gene pathway information in terms of gene sets. Using these methods, hundreds of gene sets are typically tested, and the tested gene sets often overlap. This overlapping greatly increases the probability of generating false positives, and the results obtained are difficult to interpret, particularly when many gene sets show statistical significance. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 3% |
| France | 1 | 3% |
| Unknown | 33 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 20% |
| Student > Ph. D. Student | 6 | 17% |
| Professor > Associate Professor | 4 | 11% |
| Student > Master | 4 | 11% |
| Professor | 3 | 9% |
| Other | 6 | 17% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 23% |
| Medicine and Dentistry | 7 | 20% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Mathematics | 4 | 11% |
| Engineering | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 4 | 11% |
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 28 September 2011.
All research outputs
#18,297,449
of 22,653,392 outputs
Outputs from BMC Bioinformatics
#6,276
of 7,236 outputs
Outputs of similar age
#95,856
of 112,081 outputs
Outputs of similar age from BMC Bioinformatics
#81
of 93 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 112,081 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.