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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists
|
|---|---|
| Published in |
Genome Biology, September 2007
|
| DOI | 10.1186/gb-2007-8-9-r183 |
| Pubmed ID | |
| Authors |
Da Wei Huang, Brad T Sherman, Qina Tan, Jack R Collins, W Gregory Alvord, Jean Roayaei, Robert Stephens, Michael W Baseler, H Clifford Lane, Richard A Lempicki |
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 % |
|---|---|---|
| India | 1 | 25% |
| France | 1 | 25% |
| Unknown | 2 | 50% |
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 1,176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 2% |
| Germany | 6 | <1% |
| France | 5 | <1% |
| Brazil | 4 | <1% |
| United Kingdom | 3 | <1% |
| Spain | 3 | <1% |
| Japan | 3 | <1% |
| Italy | 2 | <1% |
| Portugal | 2 | <1% |
| Other | 12 | 1% |
| Unknown | 1118 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 285 | 24% |
| Researcher | 203 | 17% |
| Student > Master | 151 | 13% |
| Student > Bachelor | 106 | 9% |
| Student > Doctoral Student | 63 | 5% |
| Other | 155 | 13% |
| Unknown | 213 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 384 | 33% |
| Biochemistry, Genetics and Molecular Biology | 260 | 22% |
| Medicine and Dentistry | 70 | 6% |
| Computer Science | 61 | 5% |
| Neuroscience | 40 | 3% |
| Other | 112 | 10% |
| Unknown | 249 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 27 January 2024.
All research outputs
#2,474,198
of 25,800,372 outputs
Outputs from Genome Biology
#1,985
of 4,519 outputs
Outputs of similar age
#5,480
of 83,216 outputs
Outputs of similar age from Genome Biology
#4
of 40 outputs
Altmetric has tracked 25,800,372 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,519 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one has gotten more attention than average, scoring higher than 56% 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 83,216 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 93% of its contemporaries.
We're also able to compare this research output to 40 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 90% of its contemporaries.