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Exploring the gonad transcriptome of two extreme male pigs with RNA-seq

Overview of attention for article published in BMC Genomics, November 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
239 Mendeley
citeulike
1 CiteULike
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Title
Exploring the gonad transcriptome of two extreme male pigs with RNA-seq
Published in
BMC Genomics, November 2011
DOI 10.1186/1471-2164-12-552
Pubmed ID
Authors

Anna Esteve-Codina, Robert Kofler, Nicola Palmieri, Giovanni Bussotti, Cedric Notredame, Miguel Pérez-Enciso

Abstract

Although RNA-seq greatly advances our understanding of complex transcriptome landscapes, such as those found in mammals, complete RNA-seq studies in livestock and in particular in the pig are still lacking. Here, we used high-throughput RNA sequencing to gain insight into the characterization of the poly-A RNA fraction expressed in pig male gonads. An expression analysis comparing different mapping approaches and detection of allele specific expression is also discussed in this study.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Switzerland 1 <1%
Malaysia 1 <1%
France 1 <1%
Norway 1 <1%
Austria 1 <1%
India 1 <1%
Denmark 1 <1%
Romania 1 <1%
Other 3 1%
Unknown 226 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 26%
Researcher 46 19%
Student > Master 30 13%
Student > Bachelor 18 8%
Student > Postgraduate 10 4%
Other 38 16%
Unknown 35 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 102 43%
Biochemistry, Genetics and Molecular Biology 46 19%
Medicine and Dentistry 9 4%
Unspecified 9 4%
Computer Science 7 3%
Other 25 10%
Unknown 41 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 February 2015.
All research outputs
#5,823,587
of 21,329,785 outputs
Outputs from BMC Genomics
#2,598
of 10,272 outputs
Outputs of similar age
#36,766
of 133,295 outputs
Outputs of similar age from BMC Genomics
#76
of 335 outputs
Altmetric has tracked 21,329,785 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,272 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 73% 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 133,295 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 71% of its contemporaries.
We're also able to compare this research output to 335 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.