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A task-based approach for Gene Ontology evaluation

Overview of attention for article published in Journal of Biomedical Semantics, April 2013
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  • Good Attention Score compared to outputs of the same age (74th percentile)

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9 X users
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1 Redditor

Citations

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122 Mendeley
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Title
A task-based approach for Gene Ontology evaluation
Published in
Journal of Biomedical Semantics, April 2013
DOI 10.1186/2041-1480-4-s1-s4
Pubmed ID
Authors

Erik L Clarke, Salvatore Loguercio, Benjamin M Good, Andrew I Su

Abstract

The Gene Ontology and its associated annotations are critical tools for interpreting lists of genes. Here, we introduce a method for evaluating the Gene Ontology annotations and structure based on the impact they have on gene set enrichment analysis, along with an example implementation. This task-based approach yields quantitative assessments grounded in experimental data and anchored tightly to the primary use of the annotations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 6%
United Kingdom 5 4%
Netherlands 3 2%
Germany 2 2%
France 1 <1%
Austria 1 <1%
Canada 1 <1%
Poland 1 <1%
Unknown 101 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 30%
Student > Master 21 17%
Researcher 16 13%
Professor > Associate Professor 9 7%
Student > Bachelor 7 6%
Other 25 20%
Unknown 7 6%
Readers by discipline Count As %
Computer Science 66 54%
Agricultural and Biological Sciences 13 11%
Engineering 9 7%
Biochemistry, Genetics and Molecular Biology 5 4%
Unspecified 3 2%
Other 15 12%
Unknown 11 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 May 2016.
All research outputs
#6,050,858
of 23,340,595 outputs
Outputs from Journal of Biomedical Semantics
#95
of 367 outputs
Outputs of similar age
#49,473
of 198,730 outputs
Outputs of similar age from Journal of Biomedical Semantics
#4
of 5 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 367 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 72% 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 198,730 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.