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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The application of network label propagation to rank biomarkers in genome-wide Alzheimer’s data
|
|---|---|
| Published in |
BMC Genomics, April 2014
|
| DOI | 10.1186/1471-2164-15-282 |
| Pubmed ID | |
| Authors |
Matthew E Stokes, M Michael Barmada, M Ilyas Kamboh, Shyam Visweswaran |
| Abstract |
Ranking and identifying biomarkers that are associated with disease from genome-wide measurements holds significant promise for understanding the genetic basis of common diseases. The large number of single nucleotide polymorphisms (SNPs) in genome-wide studies (GWAS), however, makes this task computationally challenging when the ranking is to be done in a multivariate fashion. This paper evaluates the performance of a multivariate graph-based method called label propagation (LP) that efficiently ranks SNPs in genome-wide data. |
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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 44 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 22% |
| Researcher | 9 | 20% |
| Student > Master | 6 | 13% |
| Professor > Associate Professor | 3 | 7% |
| Lecturer | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 8 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 22% |
| Agricultural and Biological Sciences | 9 | 20% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Neuroscience | 4 | 9% |
| Medicine and Dentistry | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 10 | 22% |
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 21 April 2014.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from BMC Genomics
#8,135
of 11,244 outputs
Outputs of similar age
#168,279
of 240,576 outputs
Outputs of similar age from BMC Genomics
#150
of 222 outputs
Altmetric has tracked 25,374,647 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 22nd percentile – i.e., 22% 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 240,576 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.