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GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists

Overview of attention for article published in BMC Bioinformatics, February 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
3 X users
patent
10 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2967 Dimensions

Readers on

mendeley
2059 Mendeley
citeulike
22 CiteULike
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2 Connotea
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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

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.
Mendeley readers

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

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.