You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Whole-Genome sequencing and genetic variant analysis of a quarter Horse mare
|
|---|---|
| Published in |
BMC Genomics, February 2012
|
| DOI | 10.1186/1471-2164-13-78 |
| Pubmed ID | |
| Authors |
Ryan Doan, Noah D Cohen, Jason Sawyer, Noushin Ghaffari, Charles D Johnson, Scott V Dindot |
| Abstract |
The catalog of genetic variants in the horse genome originates from a few select animals, the majority originating from the Thoroughbred mare used for the equine genome sequencing project. The purpose of this study was to identify genetic variants, including single nucleotide polymorphisms (SNPs), insertion/deletion polymorphisms (INDELs), and copy number variants (CNVs) in the genome of an individual Quarter Horse mare sequenced by next-generation sequencing. |
X Demographics
The data shown below were collected from the profiles of 9 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 States | 5 | 56% |
| Germany | 1 | 11% |
| Canada | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| France | 2 | 2% |
| Italy | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 87 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 29% |
| Researcher | 22 | 24% |
| Student > Master | 9 | 10% |
| Student > Bachelor | 8 | 9% |
| Other | 6 | 6% |
| Other | 14 | 15% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 58 | 62% |
| Biochemistry, Genetics and Molecular Biology | 11 | 12% |
| Veterinary Science and Veterinary Medicine | 4 | 4% |
| Medicine and Dentistry | 4 | 4% |
| Nursing and Health Professions | 1 | 1% |
| Other | 5 | 5% |
| Unknown | 10 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 15 May 2023.
All research outputs
#4,236,953
of 25,252,667 outputs
Outputs from BMC Genomics
#1,587
of 11,204 outputs
Outputs of similar age
#25,608
of 162,464 outputs
Outputs of similar age from BMC Genomics
#10
of 73 outputs
Altmetric has tracked 25,252,667 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,204 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 85% 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 162,464 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.