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interPopula: a Python API to access the HapMap Project dataset

Overview of attention for article published in BMC Bioinformatics, December 2010
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21 Mendeley
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Title
interPopula: a Python API to access the HapMap Project dataset
Published in
BMC Bioinformatics, December 2010
DOI 10.1186/1471-2105-11-s12-s10
Pubmed ID
Authors

Tiago Antao

Abstract

The HapMap project is a publicly available catalogue of common genetic variants that occur in humans, currently including several million SNPs across 1115 individuals spanning 11 different populations. This important database does not provide any programmatic access to the dataset, furthermore no standard relational database interface is provided.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 5%
United States 1 5%
France 1 5%
Unknown 18 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 38%
Student > Ph. D. Student 4 19%
Other 2 10%
Student > Master 2 10%
Student > Bachelor 1 5%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 52%
Biochemistry, Genetics and Molecular Biology 3 14%
Environmental Science 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Computer Science 1 5%
Other 1 5%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 June 2012.
All research outputs
#20,143,522
of 22,649,029 outputs
Outputs from BMC Bioinformatics
#6,808
of 7,234 outputs
Outputs of similar age
#171,172
of 181,646 outputs
Outputs of similar age from BMC Bioinformatics
#47
of 52 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,234 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.