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The Impact of Focused Gene Ontology Curation of Specific Mammalian Systems

Overview of attention for article published in PLOS ONE, December 2011
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Title
The Impact of Focused Gene Ontology Curation of Specific Mammalian Systems
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0027541
Pubmed ID
Authors

Yasmin Alam-Faruque, Rachael P. Huntley, Varsha K. Khodiyar, Evelyn B. Camon, Emily C. Dimmer, Tony Sawford, Maria J. Martin, Claire O'Donovan, Philippa J. Talmud, Peter Scambler, Rolf Apweiler, Ruth C. Lovering

Abstract

The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, such as the Renal and Cardiovascular GO Annotation Initiatives, aim to provide detailed GO data for proteins implicated in specific organ development and function. Such projects support the rapid evaluation of new experimental data and aid in the generation of novel biological insights to help alleviate human disease. This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 8%
United Kingdom 1 3%
Spain 1 3%
Portugal 1 3%
Unknown 33 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 41%
Student > Ph. D. Student 6 15%
Other 5 13%
Lecturer 2 5%
Student > Master 2 5%
Other 4 10%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 46%
Medicine and Dentistry 3 8%
Biochemistry, Genetics and Molecular Biology 3 8%
Computer Science 2 5%
Social Sciences 2 5%
Other 5 13%
Unknown 6 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 December 2011.
All research outputs
#15,239,825
of 22,659,164 outputs
Outputs from PLOS ONE
#129,767
of 193,435 outputs
Outputs of similar age
#162,543
of 240,792 outputs
Outputs of similar age from PLOS ONE
#1,767
of 2,922 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,435 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 24th percentile – i.e., 24% 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 240,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,922 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.