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Genomic prediction of trait segregation in a progeny population: a case study of Japanese pear (Pyrus pyrifolia)

Overview of attention for article published in BMC Genetics, January 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
2 tweeters

Citations

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26 Dimensions

Readers on

mendeley
55 Mendeley
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Title
Genomic prediction of trait segregation in a progeny population: a case study of Japanese pear (Pyrus pyrifolia)
Published in
BMC Genetics, January 2013
DOI 10.1186/1471-2156-14-81
Pubmed ID
Authors

Hiroyoshi Iwata, Takeshi Hayashi, Shingo Terakami, Norio Takada, Toshihiro Saito, Toshiya Yamamoto

Abstract

In cross breeding, it is important to choose a good parental combination that has high probability of generating offspring with desired characteristics. This study examines a method for predicting the segregation of target traits in a progeny population based on genome-wide markers and phenotype data of parental cultivars.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Brazil 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 27%
Researcher 12 22%
Student > Master 7 13%
Professor 6 11%
Student > Doctoral Student 5 9%
Other 6 11%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 64%
Biochemistry, Genetics and Molecular Biology 7 13%
Psychology 2 4%
Mathematics 1 2%
Computer Science 1 2%
Other 3 5%
Unknown 6 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 December 2013.
All research outputs
#8,180,020
of 14,224,436 outputs
Outputs from BMC Genetics
#396
of 923 outputs
Outputs of similar age
#61,127
of 132,367 outputs
Outputs of similar age from BMC Genetics
#1
of 1 outputs
Altmetric has tracked 14,224,436 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 923 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 53% 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 132,367 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them