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Accurate MS-based Rab10 Phosphorylation Stoichiometry Determination as Readout for LRRK2 Activity in Parkinson's Disease

Overview of attention for article published in Molecular and Cellular Proteomics, June 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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
2 news outlets
twitter
23 X users
patent
1 patent

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
79 Mendeley
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Title
Accurate MS-based Rab10 Phosphorylation Stoichiometry Determination as Readout for LRRK2 Activity in Parkinson's Disease
Published in
Molecular and Cellular Proteomics, June 2020
DOI 10.1074/mcp.ra120.002055
Pubmed ID
Authors

Özge Karayel, Francesca Tonelli, Sebastian Virreira Winter, Phillip E. Geyer, Ying Fan, Esther M. Sammler, Dario R. Alessi, Martin Steger, Matthias Mann

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 22%
Student > Ph. D. Student 13 16%
Student > Bachelor 7 9%
Student > Doctoral Student 5 6%
Student > Master 5 6%
Other 9 11%
Unknown 23 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 24%
Neuroscience 12 15%
Agricultural and Biological Sciences 7 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Medicine and Dentistry 4 5%
Other 6 8%
Unknown 27 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 21 September 2023.
All research outputs
#1,205,751
of 25,420,980 outputs
Outputs from Molecular and Cellular Proteomics
#101
of 3,223 outputs
Outputs of similar age
#35,182
of 433,375 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#6
of 37 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,223 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 96% 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 433,375 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 91% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.