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Computational design and characterization of nanobody-derived peptides that stabilize the active conformation of the β2-adrenergic receptor (β2-AR)

Overview of attention for article published in Scientific Reports, November 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Computational design and characterization of nanobody-derived peptides that stabilize the active conformation of the β2-adrenergic receptor (β2-AR)
Published in
Scientific Reports, November 2019
DOI 10.1038/s41598-019-52934-8
Pubmed ID
Authors

Milan Sencanski, Sanja Glisic, Marko Šnajder, Nevena Veljkovic, Nataša Poklar Ulrih, Janez Mavri, Milka Vrecl

Twitter Demographics

The data shown below were collected from the profiles of 7 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Librarian 1 9%
Unspecified 1 9%
Student > Ph. D. Student 1 9%
Student > Bachelor 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 27%
Veterinary Science and Veterinary Medicine 1 9%
Unspecified 1 9%
Business, Management and Accounting 1 9%
Chemistry 1 9%
Other 0 0%
Unknown 4 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 November 2019.
All research outputs
#4,824,141
of 16,254,342 outputs
Outputs from Scientific Reports
#31,081
of 86,381 outputs
Outputs of similar age
#122,327
of 327,598 outputs
Outputs of similar age from Scientific Reports
#5,571
of 14,556 outputs
Altmetric has tracked 16,254,342 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 86,381 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one has gotten more attention than average, scoring higher than 63% 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 327,598 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 62% of its contemporaries.
We're also able to compare this research output to 14,556 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 61% of its contemporaries.