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Using genome-wide complex trait analysis to quantify ‘missing heritability’ in Parkinson's disease

Overview of attention for article published in Human Molecular Genetics, August 2012
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
9 X users
patent
1 patent

Citations

dimensions_citation
175 Dimensions

Readers on

mendeley
280 Mendeley
citeulike
3 CiteULike
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Title
Using genome-wide complex trait analysis to quantify ‘missing heritability’ in Parkinson's disease
Published in
Human Molecular Genetics, August 2012
DOI 10.1093/hmg/dds335
Pubmed ID
Authors

Margaux F. Keller, Mohamad Saad, Jose Bras, Francesco Bettella, Nayia Nicolaou, Javier Simón-Sánchez, Florian Mittag, Finja Büchel, Manu Sharma, J. Raphael Gibbs, Claudia Schulte, Valentina Moskvina, Alexandra Durr, Peter Holmans, Laura L. Kilarski, Rita Guerreiro, Dena G. Hernandez, Alexis Brice, Pauli Ylikotila, Hreinn Stefánsson, Kari Majamaa, Huw R. Morris, Nigel Williams, Thomas Gasser, Peter Heutink, Nicholas W. Wood, John Hardy, Maria Martinez, Andrew B. Singleton, Michael A. Nalls

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
United Kingdom 4 1%
Germany 2 <1%
Austria 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Spain 1 <1%
China 1 <1%
Unknown 265 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 22%
Student > Ph. D. Student 56 20%
Student > Master 27 10%
Student > Bachelor 23 8%
Professor 19 7%
Other 52 19%
Unknown 42 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 20%
Medicine and Dentistry 48 17%
Biochemistry, Genetics and Molecular Biology 38 14%
Neuroscience 30 11%
Psychology 9 3%
Other 38 14%
Unknown 61 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 31 March 2022.
All research outputs
#1,617,101
of 26,017,215 outputs
Outputs from Human Molecular Genetics
#304
of 8,505 outputs
Outputs of similar age
#9,668
of 190,624 outputs
Outputs of similar age from Human Molecular Genetics
#3
of 93 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,505 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 190,624 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 94% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.