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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prospects and limits of marker imputation in quantitative genetic studies in European elite wheat (Triticum aestivum L.)
|
|---|---|
| Published in |
BMC Genomics, March 2015
|
| DOI | 10.1186/s12864-015-1366-y |
| Pubmed ID | |
| Authors |
Sang He, Yusheng Zhao, M Florian Mette, Reiner Bothe, Erhard Ebmeyer, Timothy F Sharbel, Jochen C Reif, Yong Jiang |
| Abstract |
The main goal of our study was to investigate the implementation, prospects, and limits of marker imputation for quantitative genetic studies contrasting map-independent and map-dependent algorithms. We used a diversity panel consisting of 372 European elite wheat (Triticum aestivum L.) varieties, which had been genotyped with SNP arrays, and performed intensive simulation studies. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 2% |
| Germany | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 55 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 26% |
| Researcher | 12 | 21% |
| Student > Master | 6 | 10% |
| Student > Bachelor | 4 | 7% |
| Student > Postgraduate | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 69% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Environmental Science | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Earth and Planetary Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 9 | 16% |
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 26 August 2015.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from BMC Genomics
#9,273
of 10,648 outputs
Outputs of similar age
#218,731
of 259,195 outputs
Outputs of similar age from BMC Genomics
#266
of 290 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,648 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 259,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 290 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.