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Transcriptional profiling of bovine milk using RNA sequencing

Overview of attention for article published in BMC Genomics, January 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 blog
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6 X users

Citations

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198 Dimensions

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183 Mendeley
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Title
Transcriptional profiling of bovine milk using RNA sequencing
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-45
Pubmed ID
Authors

Saumya Wickramasinghe, Gonzalo Rincon, Alma Islas-Trejo, Juan F Medrano

Abstract

Cow milk is a complex bioactive fluid consumed by humans beyond infancy. Even though the chemical and physical properties of cow milk are well characterized, very limited research has been done on characterizing the milk transcriptome. This study performs a comprehensive expression profiling of genes expressed in milk somatic cells of transition (day 15), peak (day 90) and late (day 250) lactation Holstein cows by RNA sequencing. Milk samples were collected from Holstein cows at 15, 90 and 250 days of lactation, and RNA was extracted from the pelleted milk cells. Gene expression analysis was conducted by Illumina RNA sequencing. Sequence reads were assembled and analyzed in CLC Genomics Workbench. Gene Ontology (GO) and pathway analysis were performed using the Blast2GO program and GeneGo application of MetaCore program.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 2 1%
Italy 2 1%
United States 2 1%
Canada 2 1%
France 1 <1%
India 1 <1%
Belgium 1 <1%
New Zealand 1 <1%
Unknown 171 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 21%
Student > Ph. D. Student 34 19%
Student > Master 23 13%
Professor > Associate Professor 13 7%
Student > Bachelor 13 7%
Other 32 17%
Unknown 29 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 106 58%
Biochemistry, Genetics and Molecular Biology 13 7%
Medicine and Dentistry 9 5%
Veterinary Science and Veterinary Medicine 8 4%
Business, Management and Accounting 2 1%
Other 11 6%
Unknown 34 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 27 January 2012.
All research outputs
#2,772,632
of 22,662,201 outputs
Outputs from BMC Genomics
#995
of 10,612 outputs
Outputs of similar age
#23,381
of 246,172 outputs
Outputs of similar age from BMC Genomics
#26
of 278 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,612 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 90% 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 246,172 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 278 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.