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GWAMA: software for genome-wide association meta-analysis

Overview of attention for article published in BMC Bioinformatics, May 2010
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
328 Dimensions

Readers on

mendeley
227 Mendeley
citeulike
9 CiteULike
connotea
1 Connotea
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Title
GWAMA: software for genome-wide association meta-analysis
Published in
BMC Bioinformatics, May 2010
DOI 10.1186/1471-2105-11-288
Pubmed ID
Authors

Reedik Mägi, Andrew P Morris

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Brazil 2 <1%
United States 2 <1%
Canada 2 <1%
India 1 <1%
New Zealand 1 <1%
Belgium 1 <1%
Spain 1 <1%
Hong Kong 1 <1%
Other 0 0%
Unknown 212 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 60 26%
Student > Ph. D. Student 59 26%
Student > Master 25 11%
Student > Bachelor 12 5%
Student > Doctoral Student 12 5%
Other 41 18%
Unknown 18 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 35%
Biochemistry, Genetics and Molecular Biology 47 21%
Medicine and Dentistry 33 15%
Computer Science 10 4%
Mathematics 5 2%
Other 24 11%
Unknown 29 13%

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 30 March 2015.
All research outputs
#9,906,139
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#3,817
of 4,576 outputs
Outputs of similar age
#154,977
of 220,894 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 2 outputs
Altmetric has tracked 12,373,386 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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 220,894 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.