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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Heading Down the Wrong Pathway: on the Influence of Correlation within Gene Sets
|
|---|---|
| Published in |
BMC Genomics, October 2010
|
| DOI | 10.1186/1471-2164-11-574 |
| Pubmed ID | |
| Authors |
Daniel M Gatti, William T Barry, Andrew B Nobel, Ivan Rusyn, Fred A Wright |
| Abstract |
Analysis of microarray experiments often involves testing for the overrepresentation of pre-defined sets of genes among lists of genes deemed individually significant. Most popular gene set testing methods assume the independence of genes within each set, an assumption that is seriously violated, as extensive correlation between genes is a well-documented phenomenon. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 4% |
| United States | 3 | 3% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Malaysia | 1 | <1% |
| Russia | 1 | <1% |
| France | 1 | <1% |
| Unknown | 94 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 30% |
| Student > Ph. D. Student | 24 | 23% |
| Student > Master | 11 | 10% |
| Other | 7 | 7% |
| Professor > Associate Professor | 6 | 6% |
| Other | 14 | 13% |
| Unknown | 12 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 42% |
| Biochemistry, Genetics and Molecular Biology | 12 | 11% |
| Computer Science | 10 | 9% |
| Mathematics | 8 | 8% |
| Medicine and Dentistry | 7 | 7% |
| Other | 10 | 9% |
| Unknown | 14 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 November 2022.
All research outputs
#15,366,572
of 24,820,264 outputs
Outputs from BMC Genomics
#5,663
of 11,077 outputs
Outputs of similar age
#81,965
of 104,085 outputs
Outputs of similar age from BMC Genomics
#52
of 66 outputs
Altmetric has tracked 24,820,264 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,077 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 46th percentile – i.e., 46% 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 104,085 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.