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X Demographics
Mendeley readers
Attention Score in Context
Title |
GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists
|
---|---|
Published in |
BMC Bioinformatics, February 2009
|
DOI | 10.1186/1471-2105-10-48 |
Pubmed ID | |
Authors |
Eran Eden, Roy Navon, Israel Steinfeld, Doron Lipson, Zohar Yakhini |
Abstract |
Since the inception of the GO annotation project, a variety of tools have been developed that support exploring and searching the GO database. In particular, a variety of tools that perform GO enrichment analysis are currently available. Most of these tools require as input a target set of genes and a background set and seek enrichment in the target set compared to the background set. A few tools also exist that support analyzing ranked lists. The latter typically rely on simulations or on union-bound correction for assigning statistical significance to the results. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Norway | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,059 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 30 | 1% |
Germany | 11 | <1% |
United Kingdom | 9 | <1% |
Spain | 6 | <1% |
Brazil | 5 | <1% |
Switzerland | 4 | <1% |
Belgium | 4 | <1% |
Canada | 4 | <1% |
India | 4 | <1% |
Other | 32 | 2% |
Unknown | 1950 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 578 | 28% |
Researcher | 417 | 20% |
Student > Master | 237 | 12% |
Student > Bachelor | 179 | 9% |
Student > Doctoral Student | 99 | 5% |
Other | 266 | 13% |
Unknown | 283 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 718 | 35% |
Biochemistry, Genetics and Molecular Biology | 543 | 26% |
Medicine and Dentistry | 109 | 5% |
Computer Science | 91 | 4% |
Neuroscience | 68 | 3% |
Other | 187 | 9% |
Unknown | 343 | 17% |
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 09 January 2024.
All research outputs
#2,391,209
of 24,274,366 outputs
Outputs from BMC Bioinformatics
#631
of 7,510 outputs
Outputs of similar age
#11,203
of 178,391 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 55 outputs
Altmetric has tracked 24,274,366 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 7,510 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 178,391 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 55 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 92% of its contemporaries.