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On the necessity of dissecting sequence similarity scores into segment-specific contributions for inferring protein homology, function prediction and annotation

Overview of attention for article published in BMC Bioinformatics, June 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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6 X users

Citations

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12 Dimensions

Readers on

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35 Mendeley
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1 CiteULike
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Title
On the necessity of dissecting sequence similarity scores into segment-specific contributions for inferring protein homology, function prediction and annotation
Published in
BMC Bioinformatics, June 2014
DOI 10.1186/1471-2105-15-166
Pubmed ID
Authors

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

Abstract

Protein sequence similarities to any types of non-globular segments (coiled coils, low complexity regions, transmembrane regions, long loops, etc. where either positional sequence conservation is the result of a very simple, physically induced pattern or rather integral sequence properties are critical) are pertinent sources for mistaken homologies. Regretfully, these considerations regularly escape attention in large-scale annotation studies since, often, there is no substitute to manual handling of these cases. Quantitative criteria are required to suppress events of function annotation transfer as a result of false homology assignments.

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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Australia 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 34%
Professor 5 14%
Student > Bachelor 4 11%
Student > Ph. D. Student 4 11%
Student > Master 3 9%
Other 5 14%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 37%
Biochemistry, Genetics and Molecular Biology 8 23%
Computer Science 6 17%
Engineering 2 6%
Chemical Engineering 1 3%
Other 0 0%
Unknown 5 14%
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 06 June 2014.
All research outputs
#14,093,526
of 24,562,945 outputs
Outputs from BMC Bioinformatics
#3,929
of 7,554 outputs
Outputs of similar age
#110,236
of 232,035 outputs
Outputs of similar age from BMC Bioinformatics
#68
of 153 outputs
Altmetric has tracked 24,562,945 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,554 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 45th percentile – i.e., 45% 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 232,035 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 51% of its contemporaries.
We're also able to compare this research output to 153 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 52% of its contemporaries.