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The metabolic network model of primed/naive human embryonic stem cells underlines the importance of oxidation-reduction potential and tryptophan metabolism in primed pluripotency

Overview of attention for article published in Cell & Bioscience, August 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
4 tweeters

Readers on

mendeley
14 Mendeley
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Title
The metabolic network model of primed/naive human embryonic stem cells underlines the importance of oxidation-reduction potential and tryptophan metabolism in primed pluripotency
Published in
Cell & Bioscience, August 2019
DOI 10.1186/s13578-019-0334-7
Authors

Meisam Yousefi, Sayed-Amir Marashi, Ali Sharifi-Zarchi, Sara Taleahmad

Twitter Demographics

The data shown below were collected from the profiles of 4 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Researcher 4 29%
Professor > Associate Professor 2 14%
Student > Master 2 14%
Unknown 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 36%
Biochemistry, Genetics and Molecular Biology 5 36%
Unspecified 1 7%
Psychology 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 1 7%

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 03 September 2019.
All research outputs
#4,141,417
of 13,960,267 outputs
Outputs from Cell & Bioscience
#55
of 348 outputs
Outputs of similar age
#97,164
of 253,262 outputs
Outputs of similar age from Cell & Bioscience
#1
of 1 outputs
Altmetric has tracked 13,960,267 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 348 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done well, scoring higher than 84% 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 253,262 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 61% 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