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Gene regulatory networks in lactation: identification of global principles using bioinformatics

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

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
113 Dimensions

Readers on

mendeley
86 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
Gene regulatory networks in lactation: identification of global principles using bioinformatics
Published in
BMC Systems Biology, November 2007
DOI 10.1186/1752-0509-1-56
Pubmed ID
Authors

Danielle G Lemay, Margaret C Neville, Michael C Rudolph, Katherine S Pollard, J Bruce German

Abstract

The molecular events underlying mammary development during pregnancy, lactation, and involution are incompletely understood.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
India 1 1%
United Kingdom 1 1%
Canada 1 1%
United States 1 1%
Luxembourg 1 1%
Unknown 80 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 26%
Student > Ph. D. Student 16 19%
Student > Master 11 13%
Professor 5 6%
Professor > Associate Professor 5 6%
Other 13 15%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 44%
Biochemistry, Genetics and Molecular Biology 10 12%
Computer Science 5 6%
Medicine and Dentistry 3 3%
Engineering 3 3%
Other 11 13%
Unknown 16 19%
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 23 October 2014.
All research outputs
#6,943,417
of 22,768,097 outputs
Outputs from BMC Systems Biology
#269
of 1,142 outputs
Outputs of similar age
#38,890
of 156,159 outputs
Outputs of similar age from BMC Systems Biology
#3
of 7 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 74% 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 156,159 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 74% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.