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A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes

Overview of attention for article published in Nature Communications, August 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

news
17 news outlets
blogs
1 blog
twitter
59 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
123 Mendeley
Title
A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes
Published in
Nature Communications, August 2020
DOI 10.1038/s41467-020-18071-x
Pubmed ID
Authors

Ilaria Piazza, Nigel Beaton, Roland Bruderer, Thomas Knobloch, Crystel Barbisan, Lucie Chandat, Alexander Sudau, Isabella Siepe, Oliver Rinner, Natalie de Souza, Paola Picotti, Lukas Reiter

Twitter Demographics

The data shown below were collected from the profiles of 59 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 28%
Researcher 29 24%
Student > Master 17 14%
Student > Bachelor 8 7%
Student > Doctoral Student 3 2%
Other 7 6%
Unknown 24 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 29%
Chemistry 29 24%
Agricultural and Biological Sciences 9 7%
Materials Science 4 3%
Chemical Engineering 3 2%
Other 12 10%
Unknown 30 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 156. 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 28 June 2021.
All research outputs
#155,927
of 18,439,562 outputs
Outputs from Nature Communications
#2,360
of 36,566 outputs
Outputs of similar age
#5,842
of 307,026 outputs
Outputs of similar age from Nature Communications
#1
of 1 outputs
Altmetric has tracked 18,439,562 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 36,566 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 53.1. This one has done particularly well, scoring higher than 93% 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 307,026 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 98% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them