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ParkScreen: A Low-Cost Rapid Linkage Marker Panel for Parkinson’s Disease

Overview of attention for article published in Journal of Molecular Neuroscience, March 2009
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Title
ParkScreen: A Low-Cost Rapid Linkage Marker Panel for Parkinson’s Disease
Published in
Journal of Molecular Neuroscience, March 2009
DOI 10.1007/s12031-009-9193-8
Pubmed ID
Authors

Alessandro De Grandi, Claudia Béu Volpato, Elisa Bedin, Cristian Pattaro, Fabio Marroni, Irene Pichler, Andrew Antony Hicks, Giorgio Casari, Peter Paul Pramstaller

Abstract

A genetic marker screening panel, ParkScreen, optimized for simultaneous marker amplification, was constructed to test or exclude linkage in families with parkinsonism or Parkinson's disease, using only a few affected individuals per family. ParkScreen functionality was proven by detection of linkage to PARK2 in a family with known Parkin mutations, exclusion of linkage to several of the known loci, and detection of suggestive linkage to PARK8, PARK3, and PARK11 in some families. In a novel approach, we also tested the ability of ParkScreen to screen patients originating from isolated populations. Using apparently sporadic patients from geographically isolated Alpine villages, suggestive linkage to PARK11 was found in one village. ParkScreen is a useful and inexpensive tool that allows the rapid screening of patients in families suitable for clinical follow-up and further characterization in order to identify specific mutations or novel genes.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 11%
Spain 1 5%
Japan 1 5%
Unknown 15 79%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Professor 3 16%
Student > Ph. D. Student 3 16%
Student > Master 2 11%
Student > Bachelor 1 5%
Other 3 16%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 32%
Biochemistry, Genetics and Molecular Biology 4 21%
Environmental Science 2 11%
Medicine and Dentistry 2 11%
Economics, Econometrics and Finance 1 5%
Other 1 5%
Unknown 3 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 2011.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from Journal of Molecular Neuroscience
#972
of 1,642 outputs
Outputs of similar age
#91,464
of 106,890 outputs
Outputs of similar age from Journal of Molecular Neuroscience
#2
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,642 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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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 2 of them.