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Genome-Wide association study identifies candidate genes for Parkinson's disease in an Ashkenazi Jewish population

Overview of attention for article published in BMC Medical Genetics, August 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

twitter
5 tweeters

Citations

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108 Dimensions

Readers on

mendeley
124 Mendeley
citeulike
2 CiteULike
Title
Genome-Wide association study identifies candidate genes for Parkinson's disease in an Ashkenazi Jewish population
Published in
BMC Medical Genetics, August 2011
DOI 10.1186/1471-2350-12-104
Pubmed ID
Authors

Xinmin Liu, Rong Cheng, Miguel Verbitsky, Sergey Kisselev, Andrew Browne, Helen Mejia-Sanatana, Elan D Louis, Lucien J Cote, Howard Andrews, Cheryl Waters, Blair Ford, Steven Frucht, Stanley Fahn, Karen Marder, Lorraine N Clark, Joseph H Lee

Abstract

To date, nine Parkinson disease (PD) genome-wide association studies in North American, European and Asian populations have been published. The majority of studies have confirmed the association of the previously identified genetic risk factors, SNCA and MAPT, and two studies have identified three new PD susceptibility loci/genes (PARK16, BST1 and HLA-DRB5). In a recent meta-analysis of datasets from five of the published PD GWAS an additional 6 novel candidate genes (SYT11, ACMSD, STK39, MCCC1/LAMP3, GAK and CCDC62/HIP1R) were identified. Collectively the associations identified in these GWAS account for only a small proportion of the estimated total heritability of PD suggesting that an 'unknown' component of the genetic architecture of PD remains to be identified.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Sweden 1 <1%
Italy 1 <1%
Germany 1 <1%
Belgium 1 <1%
Spain 1 <1%
Unknown 116 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 33%
Researcher 21 17%
Student > Master 11 9%
Student > Doctoral Student 10 8%
Student > Bachelor 8 6%
Other 22 18%
Unknown 11 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 31%
Medicine and Dentistry 25 20%
Biochemistry, Genetics and Molecular Biology 19 15%
Neuroscience 11 9%
Computer Science 4 3%
Other 11 9%
Unknown 15 12%

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 24 February 2012.
All research outputs
#3,344,266
of 12,372,276 outputs
Outputs from BMC Medical Genetics
#115
of 729 outputs
Outputs of similar age
#25,591
of 86,217 outputs
Outputs of similar age from BMC Medical Genetics
#1
of 4 outputs
Altmetric has tracked 12,372,276 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 729 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 83% 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 86,217 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 69% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them