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SNPFile – A software library and file format for large scale association mapping and population genetics studies

Overview of attention for article published in BMC Bioinformatics, December 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
45 Mendeley
citeulike
10 CiteULike
connotea
1 Connotea
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Title
SNPFile – A software library and file format for large scale association mapping and population genetics studies
Published in
BMC Bioinformatics, December 2008
DOI 10.1186/1471-2105-9-526
Pubmed ID
Authors

Jesper Nielsen, Thomas Mailund

Abstract

High-throughput genotyping technology has enabled cost effective typing of thousands of individuals in hundred of thousands of markers for use in genome wide studies. This vast improvement in data acquisition technology makes it an informatics challenge to efficiently store and manipulate the data. While spreadsheets and at text files were adequate solutions earlier, the increased data size mandates more efficient solutions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 4%
Denmark 2 4%
United States 2 4%
France 1 2%
Argentina 1 2%
Sweden 1 2%
Spain 1 2%
Netherlands 1 2%
Unknown 34 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 33%
Student > Ph. D. Student 9 20%
Professor > Associate Professor 5 11%
Student > Master 3 7%
Student > Bachelor 2 4%
Other 7 16%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 56%
Computer Science 6 13%
Medicine and Dentistry 5 11%
Biochemistry, Genetics and Molecular Biology 3 7%
Engineering 1 2%
Other 0 0%
Unknown 5 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 December 2008.
All research outputs
#5,426,105
of 22,705,019 outputs
Outputs from BMC Bioinformatics
#1,947
of 7,254 outputs
Outputs of similar age
#34,812
of 165,418 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 49 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,254 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 73% 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 165,418 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 78% of its contemporaries.
We're also able to compare this research output to 49 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 69% of its contemporaries.