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SNPchiMp: a database to disentangle the SNPchip jungle in bovine livestock

Overview of attention for article published in BMC Genomics, February 2014
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Title
SNPchiMp: a database to disentangle the SNPchip jungle in bovine livestock
Published in
BMC Genomics, February 2014
DOI 10.1186/1471-2164-15-123
Pubmed ID
Authors

Ezequiel Luis Nicolazzi, Matteo Picciolini, Francesco Strozzi, Robert David Schnabel, Cindy Lawley, Ali Pirani, Fiona Brew, Alessandra Stella

Abstract

Currently, six commercial whole-genome SNP chips are available for cattle genotyping, produced by two different genotyping platforms. Technical issues need to be addressed to combine data that originates from the different platforms, or different versions of the same array generated by the manufacturer. For example: i) genome coordinates for SNPs may refer to different genome assemblies; ii) reference genome sequences are updated over time changing the positions, or even removing sequences which contain SNPs; iii) not all commercial SNP ID's are searchable within public databases; iv) SNPs can be coded using different formats and referencing different strands (e.g. A/B or A/C/T/G alleles, referencing forward/reverse, top/bottom or plus/minus strand); v) Due to new information being discovered, higher density chips do not necessarily include all the SNPs present in the lower density chips; and, vi) SNP IDs may not be consistent across chips and platforms. Most researchers and breed associations manage SNP data in real-time and thus require tools to standardise data in a user-friendly manner.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Brazil 1 1%
United Kingdom 1 1%
New Zealand 1 1%
Argentina 1 1%
Unknown 85 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 24%
Student > Ph. D. Student 18 20%
Student > Master 11 12%
Student > Bachelor 7 8%
Student > Doctoral Student 5 6%
Other 13 14%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 52%
Biochemistry, Genetics and Molecular Biology 10 11%
Computer Science 5 6%
Veterinary Science and Veterinary Medicine 3 3%
Medicine and Dentistry 3 3%
Other 6 7%
Unknown 16 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 January 2015.
All research outputs
#8,262,981
of 25,377,790 outputs
Outputs from BMC Genomics
#3,704
of 11,244 outputs
Outputs of similar age
#95,972
of 329,202 outputs
Outputs of similar age from BMC Genomics
#74
of 210 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th 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 65% 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 329,202 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 69% of its contemporaries.
We're also able to compare this research output to 210 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 61% of its contemporaries.