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X Demographics
Mendeley readers
Attention Score in Context
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
The data shown below were collected from the profiles of 1,922 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 457 | 24% |
United Kingdom | 167 | 9% |
Spain | 67 | 3% |
Canada | 62 | 3% |
Australia | 60 | 3% |
Japan | 49 | 3% |
France | 25 | 1% |
Ireland | 25 | 1% |
Netherlands | 24 | 1% |
Other | 282 | 15% |
Unknown | 704 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1220 | 63% |
Scientists | 439 | 23% |
Practitioners (doctors, other healthcare professionals) | 230 | 12% |
Science communicators (journalists, bloggers, editors) | 30 | 2% |
Unknown | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 4,033 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 | 3908 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 713 | 18% |
Student > Ph. D. Student | 598 | 15% |
Student > Master | 585 | 15% |
Student > Bachelor | 436 | 11% |
Other | 234 | 6% |
Other | 638 | 16% |
Unknown | 829 | 21% |
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 | 245 | 6% |
Computer Science | 139 | 3% |
Other | 759 | 19% |
Unknown | 993 | 25% |
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 14 May 2024.
All research outputs
#2,533
of 26,036,664 outputs
Outputs from Cell
#22
of 17,392 outputs
Outputs of similar age
#9
of 295,840 outputs
Outputs of similar age from Cell
#1
of 172 outputs
Altmetric has tracked 26,036,664 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 17,392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.9. 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 295,840 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.