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Computational modeling of the olfactory receptor Olfr73 suggests a molecular basis for low potency of olfactory receptor-activating compounds

Overview of attention for article published in Communications Biology, April 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Computational modeling of the olfactory receptor Olfr73 suggests a molecular basis for low potency of olfactory receptor-activating compounds
Published in
Communications Biology, April 2019
DOI 10.1038/s42003-019-0384-8
Pubmed ID
Authors

Shuguang Yuan, Thamani Dahoun, Marc Brugarolas, Horst Pick, Slawomir Filipek, Horst Vogel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 18%
Researcher 8 14%
Professor 6 11%
Student > Bachelor 5 9%
Student > Postgraduate 5 9%
Other 13 23%
Unknown 10 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 25%
Agricultural and Biological Sciences 10 18%
Neuroscience 4 7%
Chemistry 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 6 11%
Unknown 16 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 26 April 2019.
All research outputs
#4,253,438
of 23,144,579 outputs
Outputs from Communications Biology
#2,125
of 4,276 outputs
Outputs of similar age
#87,970
of 349,766 outputs
Outputs of similar age from Communications Biology
#46
of 101 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,276 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.0. This one has gotten more attention than average, scoring higher than 50% 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 349,766 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 73% of its contemporaries.
We're also able to compare this research output to 101 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 53% of its contemporaries.