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Universal clinical Parkinson’s disease axes identify a major influence of neuroinflammation

Overview of attention for article published in Genome Medicine, November 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

twitter
6 X users

Citations

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7 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Universal clinical Parkinson’s disease axes identify a major influence of neuroinflammation
Published in
Genome Medicine, November 2022
DOI 10.1186/s13073-022-01132-9
Pubmed ID
Authors

Cynthia Sandor, Stephanie Millin, Andrew Dahl, Ann-Kathrin Schalkamp, Michael Lawton, Leon Hubbard, Nabila Rahman, Nigel Williams, Yoav Ben-Shlomo, Donald G. Grosset, Michele T. Hu, Jonathan Marchini, Caleb Webber

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 17%
Student > Bachelor 2 17%
Unspecified 1 8%
Other 1 8%
Student > Doctoral Student 1 8%
Other 2 17%
Unknown 3 25%
Readers by discipline Count As %
Arts and Humanities 1 8%
Unspecified 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Nursing and Health Professions 1 8%
Agricultural and Biological Sciences 1 8%
Other 4 33%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 November 2022.
All research outputs
#6,479,232
of 23,138,859 outputs
Outputs from Genome Medicine
#1,063
of 1,451 outputs
Outputs of similar age
#109,029
of 400,174 outputs
Outputs of similar age from Genome Medicine
#27
of 32 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 400,174 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 72% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.