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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PAGE: Parametric Analysis of Gene Set Enrichment
|
|---|---|
| Published in |
BMC Bioinformatics, June 2005
|
| DOI | 10.1186/1471-2105-6-144 |
| Pubmed ID | |
| Authors |
Seon-Young Kim, David J Volsky |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 444 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 3% |
| Italy | 2 | <1% |
| Germany | 2 | <1% |
| Argentina | 2 | <1% |
| Spain | 2 | <1% |
| Japan | 2 | <1% |
| Russia | 2 | <1% |
| South Africa | 1 | <1% |
| Israel | 1 | <1% |
| Other | 12 | 3% |
| Unknown | 403 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 132 | 30% |
| Student > Ph. D. Student | 104 | 23% |
| Student > Master | 54 | 12% |
| Professor > Associate Professor | 30 | 7% |
| Student > Bachelor | 22 | 5% |
| Other | 59 | 13% |
| Unknown | 43 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 183 | 41% |
| Biochemistry, Genetics and Molecular Biology | 75 | 17% |
| Computer Science | 41 | 9% |
| Medicine and Dentistry | 27 | 6% |
| Mathematics | 17 | 4% |
| Other | 45 | 10% |
| Unknown | 56 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 April 2023.
All research outputs
#2,567,020
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#669
of 7,672 outputs
Outputs of similar age
#4,392
of 67,925 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 26 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 91% 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 67,925 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 26 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 96% of its contemporaries.