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ProCKSI: a decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information

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

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
1 X user
wikipedia
2 Wikipedia pages

Citations

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48 Dimensions

Readers on

mendeley
53 Mendeley
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1 CiteULike
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Title
ProCKSI: a decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information
Published in
BMC Bioinformatics, October 2007
DOI 10.1186/1471-2105-8-416
Pubmed ID
Authors

Daniel Barthel, Jonathan D Hirst, Jacek Błażewicz, Edmund K Burke, Natalio Krasnogor

Abstract

We introduce the decision support system for Protein (Structure) Comparison, Knowledge, Similarity and Information (ProCKSI). ProCKSI integrates various protein similarity measures through an easy to use interface that allows the comparison of multiple proteins simultaneously. It employs the Universal Similarity Metric (USM), the Maximum Contact Map Overlap (MaxCMO) of protein structures and other external methods such as the DaliLite and the TM-align methods, the Combinatorial Extension (CE) of the optimal path, and the FAST Align and Search Tool (FAST). Additionally, ProCKSI allows the user to upload a user-defined similarity matrix supplementing the methods mentioned, and computes a similarity consensus in order to provide a rich, integrated, multicriteria view of large datasets of protein structures.

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

Geographical breakdown

Country Count As %
Switzerland 1 2%
Brazil 1 2%
Finland 1 2%
Canada 1 2%
Argentina 1 2%
Spain 1 2%
Unknown 47 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 34%
Student > Ph. D. Student 8 15%
Student > Bachelor 8 15%
Student > Doctoral Student 2 4%
Professor 2 4%
Other 8 15%
Unknown 7 13%
Readers by discipline Count As %
Computer Science 15 28%
Agricultural and Biological Sciences 10 19%
Biochemistry, Genetics and Molecular Biology 5 9%
Engineering 5 9%
Mathematics 2 4%
Other 7 13%
Unknown 9 17%
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 22 May 2016.
All research outputs
#6,909,831
of 22,659,164 outputs
Outputs from BMC Bioinformatics
#2,684
of 7,240 outputs
Outputs of similar age
#24,378
of 76,140 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 53 outputs
Altmetric has tracked 22,659,164 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 7,240 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 76,140 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 67% of its contemporaries.
We're also able to compare this research output to 53 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 60% of its contemporaries.