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Mendeley readers
Attention Score in Context
| Title |
A computational procedure for functional characterization of potential marker genes from molecular data: Alzheimer's as a case study
|
|---|---|
| Published in |
BMC Medical Genomics, July 2011
|
| DOI | 10.1186/1755-8794-4-55 |
| Pubmed ID | |
| Authors |
Margherita Squillario, Annalisa Barla |
| Abstract |
A molecular characterization of Alzheimer's Disease (AD) is the key to the identification of altered gene sets that lead to AD progression. We rely on the assumption that candidate marker genes for a given disease belong to specific pathogenic pathways, and we aim at unveiling those pathways stable across tissues, treatments and measurement systems. In this context, we analyzed three heterogeneous datasets, two microarray gene expression sets and one protein abundance set, applying a recently proposed feature selection method based on regularization. |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 40 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 7 | 17% |
| Student > Ph. D. Student | 7 | 17% |
| Researcher | 6 | 14% |
| Professor > Associate Professor | 5 | 12% |
| Student > Master | 5 | 12% |
| Other | 4 | 10% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 26% |
| Agricultural and Biological Sciences | 5 | 12% |
| Medicine and Dentistry | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Engineering | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 10 | 24% |
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 29 April 2013.
All research outputs
#15,270,698
of 22,708,120 outputs
Outputs from BMC Medical Genomics
#673
of 1,215 outputs
Outputs of similar age
#83,772
of 116,226 outputs
Outputs of similar age from BMC Medical Genomics
#9
of 12 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,215 research outputs from this source. They receive a mean Attention Score of 4.7. 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 116,226 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.