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Lactation transcriptomics in the Australian marsupial, Macropus eugenii: transcript sequencing and quantification

Overview of attention for article published in BMC Genomics, November 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Lactation transcriptomics in the Australian marsupial, Macropus eugenii: transcript sequencing and quantification
Published in
BMC Genomics, November 2007
DOI 10.1186/1471-2164-8-417
Pubmed ID
Authors

Christophe M Lefèvre, Matthew R Digby, Jane C Whitley, Yvan Strahm, Kevin R Nicholas

Abstract

Lactation is an important aspect of mammalian biology and, amongst mammals, marsupials show one of the most complex lactation cycles. Marsupials, such as the tammar wallaby (Macropus eugenii) give birth to a relatively immature newborn and progressive changes in milk composition and milk production regulate early stage development of the young. In order to investigate gene expression in the marsupial mammary gland during lactation, a comprehensive set of cDNA libraries was derived from lactating tissues throughout the lactation cycle of the tammar wallaby. A total of 14,837 express sequence tags were produced by cDNA sequencing. Sequence analysis and sequence assembly were used to construct a comprehensive catalogue of mammary transcripts. Sequence data from pregnant and early or late lactating specific cDNA libraries and, data from early or late lactation massively parallel sequencing strategies were combined to analyse the variation of milk protein gene expression during the lactation cycle. Results show a steady increase in expression of genes coding for secreted protein during the lactation cycle that is associated with high proportion of transcripts coding for milk proteins. In addition, genes involved in immune function, translation and energy or anabolic metabolism are expressed across the lactation cycle. A number of potential new milk proteins or mammary gland remodelling markers, including noncoding RNAs have been identified.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 10%
United Kingdom 1 5%
Norway 1 5%
Unknown 17 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Researcher 4 19%
Student > Bachelor 3 14%
Other 2 10%
Professor > Associate Professor 2 10%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 62%
Biochemistry, Genetics and Molecular Biology 3 14%
Immunology and Microbiology 1 5%
Chemistry 1 5%
Materials Science 1 5%
Other 0 0%
Unknown 2 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 August 2023.
All research outputs
#5,447,195
of 25,374,917 outputs
Outputs from BMC Genomics
#2,155
of 11,244 outputs
Outputs of similar age
#15,898
of 85,447 outputs
Outputs of similar age from BMC Genomics
#6
of 37 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% 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 well, scoring higher than 79% 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 85,447 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 73% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.