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Bioinformatic Approaches for Characterizing Molecular Structure and Function of Food Proteins

Overview of attention for article published in Annual Review of Food Science and Technology, January 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Bioinformatic Approaches for Characterizing Molecular Structure and Function of Food Proteins
Published in
Annual Review of Food Science and Technology, January 2023
DOI 10.1146/annurev-food-060721-022222
Pubmed ID
Authors

Harrison Helmick, Anika Jain, Genki Terashi, Andrea Liceaga, Arun K Bhunia, Daisuke Kihara, Jozef L Kokini

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 12 60%
Student > Ph. D. Student 3 15%
Unknown 5 25%
Readers by discipline Count As %
Unspecified 12 60%
Biochemistry, Genetics and Molecular Biology 1 5%
Agricultural and Biological Sciences 1 5%
Chemistry 1 5%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 April 2023.
All research outputs
#14,272,510
of 25,369,304 outputs
Outputs from Annual Review of Food Science and Technology
#154
of 217 outputs
Outputs of similar age
#174,678
of 479,448 outputs
Outputs of similar age from Annual Review of Food Science and Technology
#1
of 2 outputs
Altmetric has tracked 25,369,304 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 217 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 479,448 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 62% of its contemporaries.
We're also able to compare this research output to 2 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