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Optimization of 3-D organotypic primary colonic cultures for organ-on-chip applications

Overview of attention for article published in Journal of Biological Engineering, April 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#47 of 259)
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

blogs
1 blog
patent
1 patent

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
111 Mendeley
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Title
Optimization of 3-D organotypic primary colonic cultures for organ-on-chip applications
Published in
Journal of Biological Engineering, April 2014
DOI 10.1186/1754-1611-8-9
Pubmed ID
Authors

Asad A Ahmad, Yuli Wang, Adam D Gracz, Christopher E Sims, Scott T Magness, Nancy L Allbritton

Abstract

New advances enable long-term organotypic culture of colonic epithelial stem cells that develop into structures known as colonoids. Colonoids represent a primary tissue source acting as a potential starting material for development of an in vitro model of the colon. Key features of colonic crypt isolation and subsequent colonoid culture have not been systematically optimized compromising efficiency and reproducibility. Here murine crypt isolation yield and quality are optimized, and colonoid culture efficiency measured in microfabricated culture devices.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 2 2%
Spain 1 <1%
Netherlands 1 <1%
Unknown 105 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 29%
Researcher 21 19%
Student > Master 18 16%
Student > Bachelor 7 6%
Student > Doctoral Student 4 4%
Other 15 14%
Unknown 14 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 18%
Agricultural and Biological Sciences 20 18%
Engineering 15 14%
Chemistry 8 7%
Immunology and Microbiology 7 6%
Other 21 19%
Unknown 20 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 10 April 2019.
All research outputs
#3,535,438
of 22,754,104 outputs
Outputs from Journal of Biological Engineering
#47
of 259 outputs
Outputs of similar age
#35,773
of 226,111 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 3 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 259 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 81% 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 226,111 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.