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Article Metrics

Modulating Protein–Protein Interactions with Visible‐Light‐Responsive Peptide Backbone Photoswitches

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

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#41 of 3,953)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
36 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
15 Mendeley
Title
Modulating Protein–Protein Interactions with Visible‐Light‐Responsive Peptide Backbone Photoswitches
Published in
ChemBioChem, April 2019
DOI 10.1002/cbic.201800737
Pubmed ID
Authors

Lea Albert, Alberto Peñalver, Nemanja Djokovic, Laura Werel, Malte Hoffarth, Dusan Ruzic, Jing Xu, Lars‐Oliver Essen, Katarina Nikolic, Yali Dou, Olalla Vázquez

Twitter Demographics

The data shown below were collected from the profiles of 36 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 47%
Student > Ph. D. Student 4 27%
Researcher 2 13%
Professor > Associate Professor 1 7%
Unknown 1 7%
Readers by discipline Count As %
Chemistry 9 60%
Biochemistry, Genetics and Molecular Biology 2 13%
Agricultural and Biological Sciences 1 7%
Neuroscience 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Other 0 0%
Unknown 1 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 10 January 2020.
All research outputs
#827,809
of 14,156,489 outputs
Outputs from ChemBioChem
#41
of 3,953 outputs
Outputs of similar age
#29,527
of 318,859 outputs
Outputs of similar age from ChemBioChem
#1
of 108 outputs
Altmetric has tracked 14,156,489 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 3,953 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 98% 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 318,859 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 108 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 99% of its contemporaries.