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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multiple sources of bias confound functional enrichment analysis of global -omics data
|
|---|---|
| Published in |
Genome Biology, September 2015
|
| DOI | 10.1186/s13059-015-0761-7 |
| Pubmed ID | |
| Authors |
James A. Timmons, Krzysztof J. Szkop, Iain J. Gallagher |
| Abstract |
Serious and underappreciated sources of bias mean that extreme caution should be applied when using or interpreting functional enrichment analysis to validate findings from global RNA- or protein-expression analyses. |
X Demographics
The data shown below were collected from the profiles of 97 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 | 23 | 24% |
| United Kingdom | 19 | 20% |
| Australia | 10 | 10% |
| Germany | 5 | 5% |
| Canada | 4 | 4% |
| France | 2 | 2% |
| Switzerland | 2 | 2% |
| New Zealand | 1 | 1% |
| Ireland | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 26 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 53 | 55% |
| Members of the public | 38 | 39% |
| Science communicators (journalists, bloggers, editors) | 5 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 304 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| Sweden | 2 | <1% |
| United Kingdom | 2 | <1% |
| Norway | 1 | <1% |
| South Africa | 1 | <1% |
| Austria | 1 | <1% |
| Brazil | 1 | <1% |
| Mexico | 1 | <1% |
| Taiwan | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 286 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 73 | 24% |
| Researcher | 67 | 22% |
| Student > Master | 28 | 9% |
| Student > Bachelor | 21 | 7% |
| Student > Doctoral Student | 14 | 5% |
| Other | 44 | 14% |
| Unknown | 57 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 100 | 33% |
| Biochemistry, Genetics and Molecular Biology | 81 | 27% |
| Computer Science | 16 | 5% |
| Medicine and Dentistry | 11 | 4% |
| Mathematics | 5 | 2% |
| Other | 24 | 8% |
| Unknown | 67 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 230. 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 19 September 2023.
All research outputs
#169,001
of 25,743,152 outputs
Outputs from Genome Biology
#42
of 4,509 outputs
Outputs of similar age
#1,962
of 279,770 outputs
Outputs of similar age from Genome Biology
#2
of 81 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 99% 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 279,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.