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X Demographics
Mendeley readers
Attention Score in Context
Title |
vProtein: Identifying Optimal Amino Acid Complements from Plant-Based Foods
|
---|---|
Published in |
PLOS ONE, April 2011
|
DOI | 10.1371/journal.pone.0018836 |
Pubmed ID | |
Authors |
Peter J. Woolf, Leeann L. Fu, Avik Basu |
Abstract |
Indispensible amino acids (IAAs) are used by the body in different proportions. Most animal-based foods provide these IAAs in roughly the needed proportions, but many plant-based foods provide different proportions of IAAs. To explore how these plant-based foods can be better used in human nutrition, we have created the computational tool vProtein to identify optimal food complements to satisfy human protein needs. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Latvia | 1 | <1% |
Slovenia | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 133 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 24 | 18% |
Student > Ph. D. Student | 20 | 15% |
Student > Master | 20 | 15% |
Researcher | 18 | 13% |
Student > Doctoral Student | 7 | 5% |
Other | 17 | 13% |
Unknown | 30 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 34 | 25% |
Medicine and Dentistry | 14 | 10% |
Engineering | 13 | 10% |
Nursing and Health Professions | 11 | 8% |
Chemistry | 6 | 4% |
Other | 18 | 13% |
Unknown | 40 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 17 June 2023.
All research outputs
#2,387,167
of 23,877,203 outputs
Outputs from PLOS ONE
#29,927
of 205,269 outputs
Outputs of similar age
#10,478
of 111,695 outputs
Outputs of similar age from PLOS ONE
#232
of 1,488 outputs
Altmetric has tracked 23,877,203 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 205,269 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 85% 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 111,695 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 1,488 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.