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PhyteByte: identification of foods containing compounds with specific pharmacological properties

Overview of attention for article published in BMC Bioinformatics, June 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
26 X users
patent
2 patents

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
35 Mendeley
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Title
PhyteByte: identification of foods containing compounds with specific pharmacological properties
Published in
BMC Bioinformatics, June 2020
DOI 10.1186/s12859-020-03582-7
Pubmed ID
Authors

Kenneth E. Westerman, Sean Harrington, Jose M. Ordovas, Laurence D. Parnell

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Other 5 14%
Student > Master 4 11%
Student > Ph. D. Student 3 9%
Student > Bachelor 2 6%
Other 1 3%
Unknown 11 31%
Readers by discipline Count As %
Computer Science 4 11%
Biochemistry, Genetics and Molecular Biology 4 11%
Medicine and Dentistry 2 6%
Agricultural and Biological Sciences 2 6%
Nursing and Health Professions 2 6%
Other 6 17%
Unknown 15 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 18 January 2024.
All research outputs
#1,424,238
of 25,519,924 outputs
Outputs from BMC Bioinformatics
#177
of 7,713 outputs
Outputs of similar age
#41,320
of 434,341 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 139 outputs
Altmetric has tracked 25,519,924 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,713 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 434,341 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 139 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 98% of its contemporaries.