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Attention Score in Context
Title |
Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegansaging
|
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Published in |
Genome Biology, February 2010
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DOI | 10.1186/gb-2010-11-2-r13 |
Pubmed ID | |
Authors |
Kristen Fortney, Max Kotlyar, Igor Jurisica |
Abstract |
A central goal of biogerontology is to identify robust gene-expression biomarkers of aging. Here we develop a method where the biomarkers are networks of genes selected based on age-dependent activity and a graph-theoretic property called modularity. Tested on Caenorhabditis elegans, our algorithm yields better biomarkers than previous methods - they are more conserved across studies and better predictors of age. We apply these modular biomarkers to assign novel aging-related functions to poorly characterized longevity genes. |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 6% |
Brazil | 2 | 3% |
Germany | 1 | 1% |
Canada | 1 | 1% |
Russia | 1 | 1% |
Philippines | 1 | 1% |
Unknown | 69 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 25 | 31% |
Student > Ph. D. Student | 22 | 28% |
Professor | 6 | 8% |
Professor > Associate Professor | 5 | 6% |
Student > Master | 5 | 6% |
Other | 9 | 11% |
Unknown | 8 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 34 | 43% |
Computer Science | 15 | 19% |
Biochemistry, Genetics and Molecular Biology | 7 | 9% |
Mathematics | 3 | 4% |
Medicine and Dentistry | 3 | 4% |
Other | 8 | 10% |
Unknown | 10 | 13% |
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 12 February 2010.
All research outputs
#5,398,470
of 25,374,647 outputs
Outputs from Genome Biology
#2,903
of 4,467 outputs
Outputs of similar age
#29,439
of 172,977 outputs
Outputs of similar age from Genome Biology
#13
of 24 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 35th percentile – i.e., 35% 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 172,977 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 82% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.