You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of a spatially-weighted Relief algorithm for ranking genetic predictors of disease
|
|---|---|
| Published in |
BioData Mining, December 2012
|
| DOI | 10.1186/1756-0381-5-20 |
| Pubmed ID | |
| Authors |
Matthew E Stokes, Shyam Visweswaran |
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% |
| Germany | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
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 % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 39% |
| Researcher | 4 | 17% |
| Student > Doctoral Student | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 3 | 13% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 30% |
| Agricultural and Biological Sciences | 3 | 13% |
| Medicine and Dentistry | 3 | 13% |
| Neuroscience | 3 | 13% |
| Engineering | 2 | 9% |
| Other | 5 | 22% |
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 06 April 2018.
All research outputs
#6,114,131
of 22,687,320 outputs
Outputs from BioData Mining
#127
of 307 outputs
Outputs of similar age
#63,693
of 277,651 outputs
Outputs of similar age from BioData Mining
#2
of 3 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 307 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 57% 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 277,651 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 76% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.