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SPoRE: a mathematical model to predict double strand breaks and axis protein sites in meiosis

Overview of attention for article published in BMC Bioinformatics, December 2014
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
26 Mendeley
citeulike
1 CiteULike
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Title
SPoRE: a mathematical model to predict double strand breaks and axis protein sites in meiosis
Published in
BMC Bioinformatics, December 2014
DOI 10.1186/s12859-014-0391-1
Pubmed ID
Authors

Raphaël Champeimont, Alessandra Carbone

Abstract

Meiotic recombination between homologous chromosomes provides natural combinations of genetic variations and is a main driving force of evolution. It is initiated via programmed DNA double-strand breaks (DSB) and involves a specific axial chromosomal structure. So far, recombination regions have been mainly determined by experiments, both expensive and time-consuming.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
United States 1 4%
Unknown 24 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 35%
Student > Ph. D. Student 8 31%
Student > Bachelor 3 12%
Student > Doctoral Student 1 4%
Student > Master 1 4%
Other 1 4%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 54%
Biochemistry, Genetics and Molecular Biology 5 19%
Computer Science 3 12%
Engineering 1 4%
Unknown 3 12%

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 16 December 2014.
All research outputs
#8,410,527
of 13,426,363 outputs
Outputs from BMC Bioinformatics
#3,417
of 4,990 outputs
Outputs of similar age
#150,694
of 296,509 outputs
Outputs of similar age from BMC Bioinformatics
#222
of 323 outputs
Altmetric has tracked 13,426,363 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,990 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 23rd percentile – i.e., 23% 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 296,509 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 323 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.