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The representation of protein complexes in the Protein Ontology (PRO)

Overview of attention for article published in BMC Bioinformatics, September 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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6 X users
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1 Google+ user

Citations

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17 Dimensions

Readers on

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49 Mendeley
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7 CiteULike
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Title
The representation of protein complexes in the Protein Ontology (PRO)
Published in
BMC Bioinformatics, September 2011
DOI 10.1186/1471-2105-12-371
Pubmed ID
Authors

Carol J Bult, Harold J Drabkin, Alexei Evsikov, Darren Natale, Cecilia Arighi, Natalia Roberts, Alan Ruttenberg, Peter D'Eustachio, Barry Smith, Judith A Blake, Cathy Wu

Abstract

Representing species-specific proteins and protein complexes in ontologies that are both human- and machine-readable facilitates the retrieval, analysis, and interpretation of genome-scale data sets. Although existing protin-centric informatics resources provide the biomedical research community with well-curated compendia of protein sequence and structure, these resources lack formal ontological representations of the relationships among the proteins themselves. The Protein Ontology (PRO) Consortium is filling this informatics resource gap by developing ontological representations and relationships among proteins and their variants and modified forms. Because proteins are often functional only as members of stable protein complexes, the PRO Consortium, in collaboration with existing protein and pathway databases, has launched a new initiative to implement logical and consistent representation of protein complexes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
France 2 4%
Germany 1 2%
Brazil 1 2%
Portugal 1 2%
Canada 1 2%
United Kingdom 1 2%
Japan 1 2%
Spain 1 2%
Other 0 0%
Unknown 38 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 37%
Student > Ph. D. Student 8 16%
Student > Master 5 10%
Student > Bachelor 3 6%
Professor > Associate Professor 3 6%
Other 7 14%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 37%
Computer Science 6 12%
Biochemistry, Genetics and Molecular Biology 5 10%
Medicine and Dentistry 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 7 14%
Unknown 9 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 25 October 2011.
All research outputs
#4,869,469
of 23,504,791 outputs
Outputs from BMC Bioinformatics
#1,849
of 7,400 outputs
Outputs of similar age
#26,955
of 131,988 outputs
Outputs of similar age from BMC Bioinformatics
#28
of 88 outputs
Altmetric has tracked 23,504,791 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 75% 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 131,988 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.