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Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information

Overview of attention for article published in BMC Bioinformatics, June 2007
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
57 Mendeley
citeulike
2 CiteULike
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Title
Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information
Published in
BMC Bioinformatics, June 2007
DOI 10.1186/1471-2105-8-201
Pubmed ID
Authors

Gianluca Pollastri, Alberto JM Martin, Catherine Mooney, Alessandro Vullo

Abstract

Structural properties of proteins such as secondary structure and solvent accessibility contribute to three-dimensional structure prediction, not only in the ab initio case but also when homology information to known structures is available. Structural properties are also routinely used in protein analysis even when homology is available, largely because homology modelling is lower throughput than, say, secondary structure prediction. Nonetheless, predictors of secondary structure and solvent accessibility are virtually always ab initio.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 2%
Spain 1 2%
United States 1 2%
Unknown 54 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Ph. D. Student 9 16%
Student > Master 8 14%
Student > Bachelor 7 12%
Lecturer 5 9%
Other 10 18%
Unknown 7 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 32%
Computer Science 13 23%
Biochemistry, Genetics and Molecular Biology 7 12%
Medicine and Dentistry 2 4%
Engineering 2 4%
Other 5 9%
Unknown 10 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 April 2015.
All research outputs
#6,926,123
of 22,710,079 outputs
Outputs from BMC Bioinformatics
#2,683
of 7,259 outputs
Outputs of similar age
#23,548
of 70,045 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 46 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,259 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 gotten more attention than average, scoring higher than 61% 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 70,045 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 65% of its contemporaries.
We're also able to compare this research output to 46 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 56% of its contemporaries.