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Reconstruction of genome-scale metabolic models for 126 human tissues using mCADRE

Overview of attention for article published in BMC Systems Biology, December 2012
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
twitter
5 X users
video
1 YouTube creator

Citations

dimensions_citation
256 Dimensions

Readers on

mendeley
371 Mendeley
citeulike
10 CiteULike
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Title
Reconstruction of genome-scale metabolic models for 126 human tissues using mCADRE
Published in
BMC Systems Biology, December 2012
DOI 10.1186/1752-0509-6-153
Pubmed ID
Authors

Yuliang Wang, James A Eddy, Nathan D Price

Abstract

Human tissues perform diverse metabolic functions. Mapping out these tissue-specific functions in genome-scale models will advance our understanding of the metabolic basis of various physiological and pathological processes. The global knowledgebase of metabolic functions categorized for the human genome (Human Recon 1) coupled with abundant high-throughput data now makes possible the reconstruction of tissue-specific metabolic models. However, the number of available tissue-specific models remains incomplete compared with the large diversity of human tissues.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 371 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
Portugal 2 <1%
Colombia 2 <1%
Luxembourg 2 <1%
Germany 1 <1%
Israel 1 <1%
Finland 1 <1%
Singapore 1 <1%
France 1 <1%
Other 4 1%
Unknown 348 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 91 25%
Researcher 80 22%
Student > Master 50 13%
Student > Bachelor 28 8%
Student > Doctoral Student 16 4%
Other 47 13%
Unknown 59 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 112 30%
Biochemistry, Genetics and Molecular Biology 75 20%
Computer Science 29 8%
Engineering 23 6%
Chemical Engineering 18 5%
Other 41 11%
Unknown 73 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 07 April 2023.
All research outputs
#2,522,158
of 23,539,593 outputs
Outputs from BMC Systems Biology
#65
of 1,142 outputs
Outputs of similar age
#25,362
of 282,967 outputs
Outputs of similar age from BMC Systems Biology
#2
of 56 outputs
Altmetric has tracked 23,539,593 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. 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 282,967 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 90% of its contemporaries.
We're also able to compare this research output to 56 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 96% of its contemporaries.