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Personalized Nutrition by Prediction of Glycemic Responses

Overview of attention for article published in Cell, November 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 17,310)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

dimensions_citation
1898 Dimensions

Readers on

mendeley
4021 Mendeley
citeulike
12 CiteULike
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Title
Personalized Nutrition by Prediction of Glycemic Responses
Published in
Cell, November 2015
DOI 10.1016/j.cell.2015.11.001
Pubmed ID
Authors

David Zeevi, Tal Korem, Niv Zmora, David Israeli, Daphna Rothschild, Adina Weinberger, Orly Ben-Yacov, Dar Lador, Tali Avnit-Sagi, Maya Lotan-Pompan, Jotham Suez, Jemal Ali Mahdi, Elad Matot, Gal Malka, Noa Kosower, Michal Rein, Gili Zilberman-Schapira, Lenka Dohnalová, Meirav Pevsner-Fischer, Rony Bikovsky, Zamir Halpern, Eran Elinav, Eran Segal

X Demographics

X Demographics

The data shown below were collected from the profiles of 1,925 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 4,021 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 34 <1%
Spain 9 <1%
Netherlands 8 <1%
Denmark 7 <1%
Germany 6 <1%
United Kingdom 6 <1%
Canada 5 <1%
Japan 4 <1%
France 4 <1%
Other 42 1%
Unknown 3896 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 712 18%
Student > Ph. D. Student 598 15%
Student > Master 585 15%
Student > Bachelor 435 11%
Other 234 6%
Other 641 16%
Unknown 816 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 743 18%
Medicine and Dentistry 578 14%
Biochemistry, Genetics and Molecular Biology 576 14%
Nursing and Health Professions 243 6%
Computer Science 139 3%
Other 761 19%
Unknown 981 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2818. 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 26 April 2024.
All research outputs
#2,514
of 25,882,826 outputs
Outputs from Cell
#22
of 17,310 outputs
Outputs of similar age
#9
of 295,781 outputs
Outputs of similar age from Cell
#1
of 172 outputs
Altmetric has tracked 25,882,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,310 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 60.1. This one has done particularly well, scoring higher than 99% 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 295,781 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 99% of its contemporaries.
We're also able to compare this research output to 172 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 99% of its contemporaries.