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blastjs: a BLAST+ wrapper for Node.js

Overview of attention for article published in BMC Research Notes, February 2016
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Readers on

mendeley
17 Mendeley
citeulike
2 CiteULike
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Title
blastjs: a BLAST+ wrapper for Node.js
Published in
BMC Research Notes, February 2016
DOI 10.1186/s13104-016-1938-1
Pubmed ID
Authors

Martin Page, Dan MacLean, Christian Schudoma

Abstract

To cope with the ever-increasing amount of sequence data generated in the field of genomics, the demand for efficient and fast database searches that drive functional and structural annotation in both large- and small-scale genome projects is on the rise. The tools of the BLAST+ suite are the most widely employed bioinformatic method for these database searches. Recent trends in bioinformatics application development show an increasing number of JavaScript apps that are based on modern frameworks such as Node.js. Until now, there is no way of using database searches with the BLAST+ suite from a Node.js codebase. We developed blastjs, a Node.js library that wraps the search tools of the BLAST+ suite and thus allows to easily add significant functionality to any Node.js-based application. blastjs is a library that allows the incorporation of BLAST+ functionality into bioinformatics applications based on JavaScript and Node.js. The library was designed to be as user-friendly as possible and therefore requires only a minimal amount of code in the client application. The library is freely available under the MIT license at https://github.com/teammaclean/blastjs .

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 18%
Student > Doctoral Student 2 12%
Student > Bachelor 2 12%
Researcher 2 12%
Professor 1 6%
Other 3 18%
Unknown 4 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 24%
Computer Science 4 24%
Business, Management and Accounting 1 6%
Arts and Humanities 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 1 6%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 09 March 2016.
All research outputs
#2,996,443
of 23,577,761 outputs
Outputs from BMC Research Notes
#393
of 4,305 outputs
Outputs of similar age
#47,879
of 299,174 outputs
Outputs of similar age from BMC Research Notes
#16
of 115 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,305 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 90% 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 299,174 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.