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Sequencing the transcriptome of milk production: milk trumps mammary tissue

Overview of attention for article published in BMC Genomics, December 2013
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
patent
1 patent

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Sequencing the transcriptome of milk production: milk trumps mammary tissue
Published in
BMC Genomics, December 2013
DOI 10.1186/1471-2164-14-872
Pubmed ID
Authors

Danielle G Lemay, Russell C Hovey, Stella R Hartono, Katie Hinde, Jennifer T Smilowitz, Frank Ventimiglia, Kimberli A Schmidt, Joyce WS Lee, Alma Islas-Trejo, Pedro Ivo Silva, Ian Korf, Juan F Medrano, Peter A Barry, J Bruce German

Abstract

Studies of normal human mammary gland development and function have mostly relied on cell culture, limited surgical specimens, and rodent models. Although RNA extracted from human milk has been used to assay the mammary transcriptome non-invasively, this assay has not been adequately validated in primates. Thus, the objectives of the current study were to assess the suitability of lactating rhesus macaques as a model for lactating humans and to determine whether RNA extracted from milk fractions is representative of RNA extracted from mammary tissue for the purpose of studying the transcriptome of milk-producing cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Brazil 1 1%
Unknown 70 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 21%
Researcher 14 19%
Student > Bachelor 8 11%
Professor 5 7%
Student > Master 5 7%
Other 12 17%
Unknown 13 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 42%
Biochemistry, Genetics and Molecular Biology 11 15%
Veterinary Science and Veterinary Medicine 5 7%
Immunology and Microbiology 3 4%
Medicine and Dentistry 2 3%
Other 7 10%
Unknown 14 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 20 December 2022.
All research outputs
#2,483,738
of 25,374,647 outputs
Outputs from BMC Genomics
#669
of 11,244 outputs
Outputs of similar age
#27,434
of 320,393 outputs
Outputs of similar age from BMC Genomics
#13
of 209 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 320,393 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 91% of its contemporaries.
We're also able to compare this research output to 209 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 93% of its contemporaries.