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iBarcode.org: web-based molecular biodiversity analysis

Overview of attention for article published in BMC Bioinformatics, June 2009
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
98 Mendeley
citeulike
3 CiteULike
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Title
iBarcode.org: web-based molecular biodiversity analysis
Published in
BMC Bioinformatics, June 2009
DOI 10.1186/1471-2105-10-s6-s14
Pubmed ID
Authors

Gregory AC Singer, Mehrdad Hajibabaei

Abstract

DNA sequences have become a primary source of information in biodiversity analysis. For example, short standardized species-specific genomic regions, DNA barcodes, are being used as a global standard for species identification and biodiversity studies. Most DNA barcodes are being generated by laboratories that have an expertise in DNA sequencing but not in bioinformatics data analysis. Therefore, we have developed a web-based suite of tools to help the DNA barcode researchers analyze their vast datasets.

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 3%
Germany 2 2%
India 2 2%
Indonesia 1 1%
France 1 1%
Ireland 1 1%
Sweden 1 1%
Switzerland 1 1%
Colombia 1 1%
Other 7 7%
Unknown 78 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 34%
Student > Ph. D. Student 15 15%
Professor > Associate Professor 9 9%
Student > Bachelor 9 9%
Student > Master 8 8%
Other 19 19%
Unknown 5 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 72%
Biochemistry, Genetics and Molecular Biology 9 9%
Computer Science 5 5%
Environmental Science 3 3%
Medicine and Dentistry 2 2%
Other 4 4%
Unknown 4 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 03 August 2009.
All research outputs
#3,275,068
of 17,353,889 outputs
Outputs from BMC Bioinformatics
#1,365
of 6,150 outputs
Outputs of similar age
#21,853
of 120,263 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 184 outputs
Altmetric has tracked 17,353,889 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,150 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 77% 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 120,263 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 81% of its contemporaries.
We're also able to compare this research output to 184 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 73% of its contemporaries.