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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A large and diverse collection of bovine genome sequences from the Canadian Cattle Genome Project
|
|---|---|
| Published in |
Giga Science, October 2015
|
| DOI | 10.1186/s13742-015-0090-5 |
| Pubmed ID | |
| Authors |
Paul Stothard, Xiaoping Liao, Adriano S. Arantes, Mary De Pauw, Colin Coros, Graham S. Plastow, Mehdi Sargolzaei, John J. Crowley, John A. Basarab, Flavio Schenkel, Stephen Moore, Stephen P. Miller |
| Abstract |
The Canadian Cattle Genome Project is a large-scale international project that aims to develop genomics-based tools to enhance the efficiency and sustainability of beef and dairy production. Obtaining DNA sequence information is an important part of achieving this goal as it facilitates efforts to associate specific DNA differences with phenotypic variation. These associations can be used to guide breeding decisions and provide valuable insight into the molecular basis of traits. We describe a dataset of 379 whole-genome sequences, taken primarily from key historic Bos taurus animals, along with the analyses that were performed to assess data quality. The sequenced animals represent ten populations relevant to beef or dairy production. Animal information (name, breed, population), sequence data metrics (mapping rate, depth, concordance), and sequence repository identifiers (NCBI BioProject and BioSample IDs) are provided to enable others to access and exploit this sequence information. The large number of whole-genome sequences generated as a result of this project will contribute to ongoing work aiming to catalogue the variation that exists in cattle as well as efforts to improve traits through genotype-guided selection. Studies of gene function, population structure, and sequence evolution are also likely to benefit from the availability of this resource. |
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 Kingdom | 3 | 33% |
| Australia | 2 | 22% |
| France | 1 | 11% |
| Hong Kong | 1 | 11% |
| Canada | 1 | 11% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 33% |
| Members of the public | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Denmark | 1 | 2% |
| France | 1 | 2% |
| Unknown | 53 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 38% |
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 41% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Veterinary Science and Veterinary Medicine | 3 | 5% |
| Business, Management and Accounting | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 15 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 05 November 2016.
All research outputs
#2,480,645
of 25,460,914 outputs
Outputs from Giga Science
#513
of 1,170 outputs
Outputs of similar age
#34,236
of 295,384 outputs
Outputs of similar age from Giga Science
#14
of 21 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,170 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has gotten more attention than average, scoring higher than 56% 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 295,384 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 88% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.