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Mendeley readers
Attention Score in Context
Title |
Genome-wide association study for somatic cell score in Valdostana Red Pied cattle breed using pooled DNA
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Published in |
BMC Genomic Data, October 2014
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DOI | 10.1186/s12863-014-0106-7 |
Pubmed ID | |
Authors |
Maria G Strillacci, Erika Frigo, Fausta Schiavini, Antonia B Samoré, Fabiola Canavesi, Mario Vevey, Maria C Cozzi, Morris Soller, Ehud Lipkin, Alessandro Bagnato |
Abstract |
Mastitis is a major disease of dairy cattle occurring in response to environmental exposure to infective agents with a great economic impact on dairy industry. Somatic cell count (SCC) and its log transformation in somatic cell score (SCS) are traits that have been used as indirect measures of resistance to mastitis for decades in selective breeding. A selective DNA pooling (SDP) approach was applied to identify Quantitative Trait Loci (QTL) for SCS in Valdostana Red Pied cattle using the Illumina Bovine HD BeadChip. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 2% |
Unknown | 49 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 20% |
Student > Ph. D. Student | 10 | 20% |
Researcher | 7 | 14% |
Other | 5 | 10% |
Student > Bachelor | 3 | 6% |
Other | 5 | 10% |
Unknown | 10 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 19 | 38% |
Veterinary Science and Veterinary Medicine | 9 | 18% |
Biochemistry, Genetics and Molecular Biology | 5 | 10% |
Medicine and Dentistry | 3 | 6% |
Economics, Econometrics and Finance | 1 | 2% |
Other | 0 | 0% |
Unknown | 13 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 October 2014.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from BMC Genomic Data
#786
of 1,204 outputs
Outputs of similar age
#184,350
of 267,328 outputs
Outputs of similar age from BMC Genomic Data
#13
of 27 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 267,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.