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Mutations in ATP13A2 (PARK9) are associated with an amyotrophic lateral sclerosis-like phenotype, implicating this locus in further phenotypic expansion

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

news
1 news outlet
twitter
5 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Mutations in ATP13A2 (PARK9) are associated with an amyotrophic lateral sclerosis-like phenotype, implicating this locus in further phenotypic expansion
Published in
Human Genomics, April 2019
DOI 10.1186/s40246-019-0203-9
Pubmed ID
Authors

Rossella Spataro, Maria Kousi, Sali M. K. Farhan, Jason R. Willer, Jay P. Ross, Patrick A. Dion, Guy A. Rouleau, Mark J. Daly, Benjamin M. Neale, Vincenzo La Bella, Nicholas Katsanis

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 13%
Student > Ph. D. Student 8 13%
Student > Doctoral Student 7 11%
Student > Postgraduate 4 6%
Student > Bachelor 2 3%
Other 8 13%
Unknown 25 40%
Readers by discipline Count As %
Medicine and Dentistry 10 16%
Biochemistry, Genetics and Molecular Biology 9 15%
Neuroscience 9 15%
Chemistry 2 3%
Nursing and Health Professions 1 2%
Other 4 6%
Unknown 27 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 March 2020.
All research outputs
#3,140,395
of 25,385,509 outputs
Outputs from Human Genomics
#82
of 564 outputs
Outputs of similar age
#63,361
of 347,757 outputs
Outputs of similar age from Human Genomics
#2
of 7 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 85% 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 347,757 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.