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Serious limitations of the QTL/Microarray approach for QTL gene discovery

Overview of attention for article published in BMC Biology, July 2010
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1 tweeter

Citations

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27 Dimensions

Readers on

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69 Mendeley
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3 CiteULike
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Title
Serious limitations of the QTL/Microarray approach for QTL gene discovery
Published in
BMC Biology, July 2010
DOI 10.1186/1741-7007-8-96
Pubmed ID
Authors

Ricardo A Verdugo, Charles R Farber, Craig H Warden, Juan F Medrano

Abstract

It has been proposed that the use of gene expression microarrays in nonrecombinant parental or congenic strains can accelerate the process of isolating individual genes underlying quantitative trait loci (QTL). However, the effectiveness of this approach has not been assessed.

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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Germany 1 1%
Netherlands 1 1%
United Kingdom 1 1%
South Africa 1 1%
Japan 1 1%
Argentina 1 1%
Unknown 60 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 33%
Student > Ph. D. Student 18 26%
Professor > Associate Professor 9 13%
Student > Doctoral Student 4 6%
Student > Bachelor 3 4%
Other 8 12%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 74%
Biochemistry, Genetics and Molecular Biology 6 9%
Medicine and Dentistry 3 4%
Nursing and Health Professions 1 1%
Mathematics 1 1%
Other 1 1%
Unknown 6 9%

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 11 April 2013.
All research outputs
#2,248,402
of 4,014,014 outputs
Outputs from BMC Biology
#502
of 599 outputs
Outputs of similar age
#45,110
of 87,239 outputs
Outputs of similar age from BMC Biology
#36
of 39 outputs
Altmetric has tracked 4,014,014 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.