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Mendeley readers
Attention Score in Context
Title |
Genomic prediction of trait segregation in a progeny population: a case study of Japanese pear (Pyrus pyrifolia)
|
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Published in |
BMC Genomic Data, September 2013
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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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 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 | 59 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 25% |
Researcher | 13 | 21% |
Student > Master | 8 | 13% |
Professor | 6 | 10% |
Student > Doctoral Student | 5 | 8% |
Other | 7 | 11% |
Unknown | 7 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 36 | 59% |
Biochemistry, Genetics and Molecular Biology | 8 | 13% |
Psychology | 2 | 3% |
Mathematics | 1 | 2% |
Unspecified | 1 | 2% |
Other | 4 | 7% |
Unknown | 9 | 15% |
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
#16,045,990
of 25,371,288 outputs
Outputs from BMC Genomic Data
#549
of 1,204 outputs
Outputs of similar age
#121,174
of 210,943 outputs
Outputs of similar age from BMC Genomic Data
#9
of 17 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. 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 210,943 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.