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Genotype calling in tetraploid species from bi-allelic marker data using mixture models

Overview of attention for article published in BMC Bioinformatics, May 2011
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
172 Dimensions

Readers on

mendeley
189 Mendeley
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Title
Genotype calling in tetraploid species from bi-allelic marker data using mixture models
Published in
BMC Bioinformatics, May 2011
DOI 10.1186/1471-2105-12-172
Pubmed ID
Authors

Roeland E Voorrips, Gerrit Gort, Ben Vosman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 7 4%
Netherlands 4 2%
Portugal 2 1%
United States 2 1%
France 1 <1%
Spain 1 <1%
Colombia 1 <1%
Unknown 171 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 56 30%
Student > Ph. D. Student 48 25%
Student > Master 26 14%
Student > Bachelor 8 4%
Other 8 4%
Other 26 14%
Unknown 17 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 138 73%
Biochemistry, Genetics and Molecular Biology 16 8%
Environmental Science 2 1%
Arts and Humanities 1 <1%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 5 3%
Unknown 26 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 December 2017.
All research outputs
#7,576,904
of 23,106,390 outputs
Outputs from BMC Bioinformatics
#3,050
of 7,330 outputs
Outputs of similar age
#41,423
of 112,700 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 86 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,330 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 50% 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 112,700 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.