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Bioclojure: a functional library for the manipulation of biological sequences

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
32 X users
googleplus
1 Google+ user

Citations

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5 Dimensions

Readers on

mendeley
37 Mendeley
citeulike
2 CiteULike
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Title
Bioclojure: a functional library for the manipulation of biological sequences
Published in
Bioinformatics, May 2014
DOI 10.1093/bioinformatics/btu311
Pubmed ID
Authors

Jordan Plieskatt, Gabriel Rinaldi, Paul J Brindley, Xinying Jia, Jeremy Potriquet, Jeffrey Bethony, Jason Mulvenna

Abstract

BioClojure is an open-source library for the manipulation of biological sequence data written in the language Clojure. BioClojure aims to provide a functional framework for the processing of biological sequence data that provides simple mechanisms for concurrency and lazy evaluation of large datasets.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uruguay 2 5%
Pakistan 1 3%
Italy 1 3%
Brazil 1 3%
Canada 1 3%
Russia 1 3%
United States 1 3%
Unknown 29 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Ph. D. Student 5 14%
Student > Bachelor 4 11%
Professor 4 11%
Other 4 11%
Other 10 27%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 32%
Biochemistry, Genetics and Molecular Biology 9 24%
Computer Science 8 22%
Engineering 2 5%
Decision Sciences 1 3%
Other 3 8%
Unknown 2 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 28 January 2015.
All research outputs
#1,525,277
of 25,235,161 outputs
Outputs from Bioinformatics
#704
of 12,356 outputs
Outputs of similar age
#14,802
of 234,524 outputs
Outputs of similar age from Bioinformatics
#18
of 202 outputs
Altmetric has tracked 25,235,161 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,356 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 94% 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 234,524 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.