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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Large scale variation in DNA copy number in chicken breeds
|
|---|---|
| Published in |
BMC Genomics, June 2013
|
| DOI | 10.1186/1471-2164-14-398 |
| Pubmed ID | |
| Authors |
Richard PMA Crooijmans, Mark S Fife, Tomas W Fitzgerald, Shurnevia Strickland, Hans H Cheng, Pete Kaiser, Richard Redon, Martien AM Groenen |
| Abstract |
Detecting genetic variation is a critical step in elucidating the molecular mechanisms underlying phenotypic diversity. Until recently, such detection has mostly focused on single nucleotide polymorphisms (SNPs) because of the ease in screening complete genomes. Another type of variant, copy number variation (CNV), is emerging as a significant contributor to phenotypic variation in many species. Here we describe a genome-wide CNV study using array comparative genomic hybridization (aCGH) in a wide variety of chicken breeds. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 38% |
| Canada | 2 | 25% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Science communicators (journalists, bloggers, editors) | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 52 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 32% |
| Researcher | 12 | 23% |
| Student > Master | 9 | 17% |
| Student > Bachelor | 5 | 9% |
| Student > Doctoral Student | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 62% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Veterinary Science and Veterinary Medicine | 2 | 4% |
| Environmental Science | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 5 | 9% |
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 04 July 2013.
All research outputs
#7,148,094
of 25,371,288 outputs
Outputs from BMC Genomics
#2,917
of 11,244 outputs
Outputs of similar age
#57,897
of 209,493 outputs
Outputs of similar age from BMC Genomics
#49
of 178 outputs
Altmetric has tracked 25,371,288 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 11,244 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 73% 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 209,493 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 72% of its contemporaries.
We're also able to compare this research output to 178 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 71% of its contemporaries.