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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of a high density 600K SNP genotyping array for chicken
|
|---|---|
| Published in |
BMC Genomics, January 2013
|
| DOI | 10.1186/1471-2164-14-59 |
| Pubmed ID | |
| Authors |
Andreas Kranis, Almas A Gheyas, Clarissa Boschiero, Frances Turner, Le Yu, Sarah Smith, Richard Talbot, Ali Pirani, Fiona Brew, Pete Kaiser, Paul M Hocking, Mark Fife, Nigel Salmon, Janet Fulton, Tim M Strom, Georg Haberer, Steffen Weigend, Rudolf Preisinger, Mahmood Gholami, Saber Qanbari, Henner Simianer, Kellie A Watson, John A Woolliams, David W Burt |
| Abstract |
High density (HD) SNP genotyping arrays are an important tool for genetic analyses of animals and plants. Although the chicken is one of the most important farm animals, no HD array is yet available for high resolution genetic analysis of this species. |
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 % |
|---|---|---|
| Switzerland | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 2% |
| United Kingdom | 2 | <1% |
| Australia | 1 | <1% |
| Finland | 1 | <1% |
| Sweden | 1 | <1% |
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 205 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 47 | 22% |
| Student > Ph. D. Student | 46 | 21% |
| Student > Master | 26 | 12% |
| Student > Doctoral Student | 18 | 8% |
| Student > Bachelor | 15 | 7% |
| Other | 31 | 14% |
| Unknown | 33 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 121 | 56% |
| Biochemistry, Genetics and Molecular Biology | 30 | 14% |
| Veterinary Science and Veterinary Medicine | 5 | 2% |
| Computer Science | 4 | 2% |
| Environmental Science | 3 | 1% |
| Other | 12 | 6% |
| Unknown | 41 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 01 January 2023.
All research outputs
#7,212,870
of 25,394,764 outputs
Outputs from BMC Genomics
#2,958
of 11,250 outputs
Outputs of similar age
#71,705
of 290,209 outputs
Outputs of similar age from BMC Genomics
#44
of 174 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,250 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 72% 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 290,209 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 74% of its contemporaries.
We're also able to compare this research output to 174 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.