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Parkinson's disease-associated mutations in the GTPase domain of LRRK2 impair its nucleotide-dependent conformational dynamics

Overview of attention for article published in Journal of Biological Chemistry, February 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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2 X users
patent
1 patent

Citations

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24 Dimensions

Readers on

mendeley
48 Mendeley
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1 CiteULike
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Title
Parkinson's disease-associated mutations in the GTPase domain of LRRK2 impair its nucleotide-dependent conformational dynamics
Published in
Journal of Biological Chemistry, February 2019
DOI 10.1074/jbc.ra119.007631
Pubmed ID
Authors

Chun-Xiang Wu, Jingling Liao, Yangshin Park, Xylena Reed, Victoria A Engel, Neo C Hoang, Yuichiro Takagi, Steven M Johnson, Mu Wang, Mark Federici, R Jeremy Nichols, Ruslan Sanishvili, Mark R Cookson, Quyen Q Hoang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Master 7 15%
Student > Ph. D. Student 6 13%
Student > Bachelor 4 8%
Student > Doctoral Student 2 4%
Other 4 8%
Unknown 14 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 25%
Neuroscience 10 21%
Agricultural and Biological Sciences 9 19%
Sports and Recreations 1 2%
Nursing and Health Professions 1 2%
Other 0 0%
Unknown 15 31%
Attention Score in Context

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 02 September 2021.
All research outputs
#7,782,070
of 25,385,509 outputs
Outputs from Journal of Biological Chemistry
#31,125
of 85,256 outputs
Outputs of similar age
#138,120
of 367,047 outputs
Outputs of similar age from Journal of Biological Chemistry
#176
of 420 outputs
Altmetric has tracked 25,385,509 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 85,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 367,047 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 61% of its contemporaries.
We're also able to compare this research output to 420 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 57% of its contemporaries.