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Genome sequencing and analysis of Mangalica, a fatty local pig of Hungary

Overview of attention for article published in BMC Genomics, September 2014
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Title
Genome sequencing and analysis of Mangalica, a fatty local pig of Hungary
Published in
BMC Genomics, September 2014
DOI 10.1186/1471-2164-15-761
Pubmed ID
Authors

János Molnár, Tibor Nagy, Viktor Stéger, Gábor Tóth, Ferenc Marincs, Endre Barta

Abstract

Mangalicas are fatty type local/rare pig breeds with an increasing presence in the niche pork market in Hungary and in other countries. To explore their genetic resources, we have analysed data from next-generation sequencing of an individual male from each of three Mangalica breeds along with a local male Duroc pig. Structural variations, such as SNPs, INDELs and CNVs, were identified and particular genes with SNP variations were analysed with special emphasis on functions related to fat metabolism in pigs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 26%
Student > Ph. D. Student 10 26%
Student > Master 4 10%
Student > Doctoral Student 2 5%
Other 2 5%
Other 4 10%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 44%
Biochemistry, Genetics and Molecular Biology 5 13%
Veterinary Science and Veterinary Medicine 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 11 28%
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 03 February 2023.
All research outputs
#7,066,166
of 23,275,636 outputs
Outputs from BMC Genomics
#3,218
of 10,737 outputs
Outputs of similar age
#69,743
of 239,626 outputs
Outputs of similar age from BMC Genomics
#56
of 198 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,737 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 69% 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 239,626 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 70% of its contemporaries.
We're also able to compare this research output to 198 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.