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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GO2MSIG, an automated GO based multi-species gene set generator for gene set enrichment analysis
|
|---|---|
| Published in |
BMC Bioinformatics, May 2014
|
| DOI | 10.1186/1471-2105-15-146 |
| Pubmed ID | |
| Authors |
Justin Andrew Christiaan Powell |
| Abstract |
Despite the widespread use of high throughput expression platforms and the availability of a desktop implementation of Gene Set Enrichment Analysis (GSEA) that enables non-experts to perform gene set based analyses, the availability of the necessary precompiled gene sets is rare for species other than human. |
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 % |
|---|---|---|
| Switzerland | 1 | 25% |
| United States | 1 | 25% |
| Japan | 1 | 25% |
| Unknown | 1 | 25% |
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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 3% |
| United States | 1 | 1% |
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 65 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 30% |
| Researcher | 18 | 26% |
| Student > Master | 6 | 9% |
| Professor | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 37% |
| Biochemistry, Genetics and Molecular Biology | 15 | 21% |
| Computer Science | 8 | 11% |
| Neuroscience | 3 | 4% |
| Business, Management and Accounting | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 8 | 11% |
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 03 December 2018.
All research outputs
#13,915,695
of 22,756,196 outputs
Outputs from BMC Bioinformatics
#4,470
of 7,271 outputs
Outputs of similar age
#116,659
of 227,398 outputs
Outputs of similar age from BMC Bioinformatics
#79
of 149 outputs
Altmetric has tracked 22,756,196 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 7,271 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 35th percentile – i.e., 35% 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 227,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.