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More Than 1,001 Problems with Protein Domain Databases: Transmembrane Regions, Signal Peptides and the Issue of Sequence Homology

Overview of attention for article published in PLoS Computational Biology, July 2010
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Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
137 Mendeley
citeulike
12 CiteULike
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Title
More Than 1,001 Problems with Protein Domain Databases: Transmembrane Regions, Signal Peptides and the Issue of Sequence Homology
Published in
PLoS Computational Biology, July 2010
DOI 10.1371/journal.pcbi.1000867
Pubmed ID
Authors

Wing-Cheong Wong, Sebastian Maurer-Stroh, Frank Eisenhaber

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
France 4 3%
Brazil 3 2%
United Kingdom 2 1%
Italy 1 <1%
Canada 1 <1%
Mexico 1 <1%
Australia 1 <1%
Japan 1 <1%
Other 3 2%
Unknown 114 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 36%
Student > Ph. D. Student 33 24%
Student > Master 12 9%
Student > Bachelor 9 7%
Professor 8 6%
Other 19 14%
Unknown 7 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 75 55%
Biochemistry, Genetics and Molecular Biology 28 20%
Computer Science 14 10%
Medicine and Dentistry 4 3%
Chemistry 3 2%
Other 8 6%
Unknown 5 4%
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 29 March 2010.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#7,480
of 8,960 outputs
Outputs of similar age
#84,855
of 103,513 outputs
Outputs of similar age from PLoS Computational Biology
#44
of 62 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 11th percentile – i.e., 11% 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 103,513 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.