↓ Skip to main content

Milk is not just food but most likely a genetic transfection system activating mTORC1 signaling for postnatal growth

Overview of attention for article published in Nutrition Journal, July 2013
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
52 tweeters
facebook
20 Facebook pages
googleplus
2 Google+ users
reddit
1 Redditor
q&a
1 Q&A thread
video
12 video uploaders

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
212 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Milk is not just food but most likely a genetic transfection system activating mTORC1 signaling for postnatal growth
Published in
Nutrition Journal, July 2013
DOI 10.1186/1475-2891-12-103
Pubmed ID
Authors

Bodo C Melnik, Swen Malte John, Gerd Schmitz

Abstract

Milk has been recognized to represent a functionally active nutrient system promoting neonatal growth of mammals. Cell growth is regulated by the nutrient-sensitive kinase mechanistic target of rapamycin complex 1 (mTORC1). There is still a lack of information on the mechanisms of mTORC1 up-regulation by milk consumption. This review presents milk as a materno-neonatal relay system functioning by transfer of preferential amino acids, which increase plasma levels of glucose-dependent insulinotropic polypeptide (GIP), glucagon-like peptide-1 (GLP-1), insulin, growth hormone (GH) and insulin-like growth factor-1 (IGF-1) for mTORC1 activation. Importantly, milk exosomes, which regularly contain microRNA-21, most likely represent a genetic transfection system enhancing mTORC1-driven metabolic processes. Whereas human breast milk is the ideal food for infants allowing appropriate postnatal growth and species-specific metabolic programming, persistent high milk signaling during adolescence and adulthood by continued cow´s milk consumption may promote mTORC1-driven diseases of civilization.

Twitter Demographics

The data shown below were collected from the profiles of 52 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 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 <1%
Portugal 1 <1%
Germany 1 <1%
France 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Unknown 205 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 23%
Student > Bachelor 31 15%
Student > Master 31 15%
Student > Ph. D. Student 28 13%
Other 15 7%
Other 42 20%
Unknown 16 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 69 33%
Medicine and Dentistry 45 21%
Biochemistry, Genetics and Molecular Biology 31 15%
Nursing and Health Professions 25 12%
Neuroscience 3 1%
Other 19 9%
Unknown 20 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 72. 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 June 2019.
All research outputs
#321,408
of 16,200,151 outputs
Outputs from Nutrition Journal
#106
of 1,237 outputs
Outputs of similar age
#3,204
of 161,120 outputs
Outputs of similar age from Nutrition Journal
#1
of 1 outputs
Altmetric has tracked 16,200,151 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,237 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.5. This one has done particularly well, scoring higher than 91% 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 161,120 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 98% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them