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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Imputation of non-genotyped individuals based on genotyped relatives: assessing the imputation accuracy of a real case scenario in dairy cattle
|
|---|---|
| Published in |
Genetics Selection Evolution, February 2014
|
| DOI | 10.1186/1297-9686-46-6 |
| Pubmed ID | |
| Authors |
Aniek C Bouwman, John M Hickey, Mario PL Calus, Roel F Veerkamp |
| Abstract |
Imputation of genotypes for ungenotyped individuals could enable the use of valuable phenotypes created before the genomic era in analyses that require genotypes. The objective of this study was to investigate the accuracy of imputation of non-genotyped individuals using genotype information from relatives. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 7% |
| Poland | 1 | 2% |
| Denmark | 1 | 2% |
| Unknown | 38 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 30% |
| Student > Ph. D. Student | 10 | 23% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 67% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Medicine and Dentistry | 2 | 5% |
| Computer Science | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 7 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 March 2014.
All research outputs
#14,473,281
of 25,373,627 outputs
Outputs from Genetics Selection Evolution
#397
of 822 outputs
Outputs of similar age
#168,868
of 322,915 outputs
Outputs of similar age from Genetics Selection Evolution
#2
of 12 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 822 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 51% 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 322,915 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.