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Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a unified metric space

Overview of attention for article published in Scientific Reports, May 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
9 tweeters

Readers on

mendeley
4 Mendeley
Title
Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a unified metric space
Published in
Scientific Reports, May 2021
DOI 10.1038/s41598-021-88623-8
Authors

Taeheon Lee, Sangseon Lee, Minji Kang, Sun Kim

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Ph. D. Student 1 25%
Student > Doctoral Student 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 50%
Computer Science 2 50%

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 02 June 2021.
All research outputs
#10,352,996
of 18,783,186 outputs
Outputs from Scientific Reports
#44,060
of 100,679 outputs
Outputs of similar age
#141,706
of 334,453 outputs
Outputs of similar age from Scientific Reports
#15
of 45 outputs
Altmetric has tracked 18,783,186 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 100,679 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has gotten more attention than average, scoring higher than 55% 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 334,453 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 56% of its contemporaries.
We're also able to compare this research output to 45 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 68% of its contemporaries.