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A Dynamic Mass Redistribution Assay for the Human Sweet Taste Receptor Uncovers G-Protein Dependent Biased Ligands

Overview of attention for article published in Frontiers in Pharmacology, February 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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3 X users

Citations

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9 Mendeley
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Title
A Dynamic Mass Redistribution Assay for the Human Sweet Taste Receptor Uncovers G-Protein Dependent Biased Ligands
Published in
Frontiers in Pharmacology, February 2022
DOI 10.3389/fphar.2022.832529
Pubmed ID
Authors

Nicole B. Servant, Mark E. Williams, Paul F. Brust, Huixian Tang, Melissa S. Wong, Qing Chen, Marketa Lebl-Rinnova, Sara L. Adamski-Werner, Catherine Tachdjian, Guy Servant

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 22%
Student > Master 2 22%
Researcher 1 11%
Professor 1 11%
Unknown 3 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 22%
Pharmacology, Toxicology and Pharmaceutical Science 1 11%
Business, Management and Accounting 1 11%
Agricultural and Biological Sciences 1 11%
Neuroscience 1 11%
Other 0 0%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 March 2022.
All research outputs
#18,135,096
of 26,526,880 outputs
Outputs from Frontiers in Pharmacology
#8,091
of 20,594 outputs
Outputs of similar age
#277,866
of 456,712 outputs
Outputs of similar age from Frontiers in Pharmacology
#489
of 1,329 outputs
Altmetric has tracked 26,526,880 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,594 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 gotten more attention than average, scoring higher than 56% 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 456,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,329 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.