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PrOnto database : GO term functional dissimilarity inferred from biological data

Overview of attention for article published in Frontiers in Genetics, June 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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4 X users

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27 Mendeley
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Title
PrOnto database : GO term functional dissimilarity inferred from biological data
Published in
Frontiers in Genetics, June 2015
DOI 10.3389/fgene.2015.00200
Pubmed ID
Authors

Charles E. Chapple, Carl Herrmann, Christine Brun

Abstract

Moonlighting proteins are defined by their involvement in multiple, unrelated functions. The computational prediction of such proteins requires a formal method of assessing the similarity of cellular processes, for example, by identifying dissimilar Gene Ontology terms. While many measures of Gene Ontology term similarity exist, most depend on abstract mathematical analyses of the structure of the GO tree and do not necessarily represent the underlying biology. Here, we propose two metrics of GO term functional dissimilarity derived from biological information, one based on the protein annotations and the other on the interactions between proteins. They have been collected in the PrOnto database, a novel tool which can be of particular use for the identification of moonlighting proteins. The database can be queried via an web-based interface which is freely available at http://tagc.univ-mrs.fr/pronto.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 4%
France 1 4%
Switzerland 1 4%
Unknown 24 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 30%
Student > Ph. D. Student 5 19%
Student > Master 5 19%
Student > Bachelor 2 7%
Student > Doctoral Student 1 4%
Other 3 11%
Unknown 3 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 41%
Biochemistry, Genetics and Molecular Biology 10 37%
Computer Science 1 4%
Sports and Recreations 1 4%
Neuroscience 1 4%
Other 0 0%
Unknown 3 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 July 2015.
All research outputs
#13,086,082
of 22,805,349 outputs
Outputs from Frontiers in Genetics
#2,892
of 11,762 outputs
Outputs of similar age
#121,776
of 267,099 outputs
Outputs of similar age from Frontiers in Genetics
#52
of 94 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,762 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 74% 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 267,099 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 53% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.