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Intraspecific variation of recombination rate in maize

Overview of attention for article published in Genome Biology (Online Edition), January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

twitter
14 tweeters
googleplus
1 Google+ user

Citations

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125 Dimensions

Readers on

mendeley
175 Mendeley
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Title
Intraspecific variation of recombination rate in maize
Published in
Genome Biology (Online Edition), January 2013
DOI 10.1186/gb-2013-14-9-r103
Pubmed ID
Authors

Eva Bauer, Matthieu Falque, Hildrun Walter, Cyril Bauland, Christian Camisan, Laura Campo, Nina Meyer, Nicolas Ranc, Renaud Rincent, Wolfgang Schipprack, Thomas Altmann, Pascal Flament, Albrecht E Melchinger, Monica Menz, Jesús Moreno-González, Milena Ouzunova, Pedro Revilla, Alain Charcosset, Olivier C Martin, Chris-Carolin Schön

Abstract

In sexually reproducing organisms, meiotic crossovers ensure the proper segregation of chromosomes and contribute to genetic diversity by shuffling allelic combinations. Such genetic reassortment is exploited in breeding to combine favorable alleles, and in genetic research to identify genetic factors underlying traits of interest via linkage or association-based approaches. Crossover numbers and distributions along chromosomes vary between species, but little is known about their intraspecies variation.

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
Netherlands 3 2%
New Zealand 1 <1%
France 1 <1%
Indonesia 1 <1%
Taiwan 1 <1%
Mexico 1 <1%
Belgium 1 <1%
United States 1 <1%
Other 0 0%
Unknown 162 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 31%
Researcher 46 26%
Student > Master 16 9%
Student > Doctoral Student 11 6%
Student > Bachelor 8 5%
Other 25 14%
Unknown 15 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 129 74%
Biochemistry, Genetics and Molecular Biology 23 13%
Computer Science 1 <1%
Earth and Planetary Sciences 1 <1%
Unknown 21 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 18 March 2015.
All research outputs
#3,095,678
of 17,371,891 outputs
Outputs from Genome Biology (Online Edition)
#2,137
of 3,593 outputs
Outputs of similar age
#31,415
of 174,747 outputs
Outputs of similar age from Genome Biology (Online Edition)
#2
of 2 outputs
Altmetric has tracked 17,371,891 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 40th percentile – i.e., 40% 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 174,747 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 80% of its contemporaries.
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.