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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A general modular framework for gene set enrichment analysis
|
|---|---|
| Published in |
BMC Bioinformatics, February 2009
|
| DOI | 10.1186/1471-2105-10-47 |
| Pubmed ID | |
| Authors |
Marit Ackermann, Korbinian Strimmer |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 437 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 22 | 5% |
| Russia | 5 | 1% |
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| Italy | 2 | <1% |
| Indonesia | 1 | <1% |
| Sweden | 1 | <1% |
| Hong Kong | 1 | <1% |
| Israel | 1 | <1% |
| Other | 10 | 2% |
| Unknown | 388 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 123 | 28% |
| Student > Ph. D. Student | 122 | 28% |
| Student > Master | 53 | 12% |
| Professor > Associate Professor | 23 | 5% |
| Student > Bachelor | 23 | 5% |
| Other | 56 | 13% |
| Unknown | 37 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 191 | 44% |
| Biochemistry, Genetics and Molecular Biology | 53 | 12% |
| Computer Science | 46 | 11% |
| Medicine and Dentistry | 27 | 6% |
| Mathematics | 22 | 5% |
| Other | 52 | 12% |
| Unknown | 46 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 09 May 2019.
All research outputs
#2,919,073
of 22,663,969 outputs
Outputs from BMC Bioinformatics
#1,045
of 7,247 outputs
Outputs of similar age
#14,874
of 169,927 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 56 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 85% 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 169,927 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 90% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.