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Amyotrophic Lateral Sclerosis: An Emerging Era of Collaborative Gene Discovery

Overview of attention for article published in PLOS ONE, December 2007
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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 (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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2 X users
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2 patents

Citations

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14 Dimensions

Readers on

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64 Mendeley
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1 CiteULike
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1 Connotea
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Title
Amyotrophic Lateral Sclerosis: An Emerging Era of Collaborative Gene Discovery
Published in
PLOS ONE, December 2007
DOI 10.1371/journal.pone.0001254
Pubmed ID
Authors

Katrina Gwinn, Roderick A. Corriveau, Hiroshi Mitsumoto, Kate Bednarz, Robert H. Brown, Merit Cudkowicz, Paul H. Gordon, John Hardy, Edward J. Kasarskis, Petra Kaufmann, Robert Miller, Eric Sorenson, Rup Tandan, Bryan J. Traynor, Josefina Nash, Alex Sherman, Matthew D. Mailman, James Ostell, Lucie Bruijn, Valerie Cwik, Stephen S. Rich, Andrew Singleton, Larry Refolo, Jaime Andrews, Ran Zhang, Robin Conwit, Margaret A. Keller, for The ALS Research Group

Abstract

Amyotrophic lateral sclerosis (ALS) is the most common form of motor neuron disease (MND). It is currently incurable and treatment is largely limited to supportive care. Family history is associated with an increased risk of ALS, and many Mendelian causes have been discovered. However, most forms of the disease are not obviously familial. Recent advances in human genetics have enabled genome-wide analyses of single nucleotide polymorphisms (SNPs) that make it possible to study complex genetic contributions to human disease. Genome-wide SNP analyses require a large sample size and thus depend upon collaborative efforts to collect and manage the biological samples and corresponding data. Public availability of biological samples (such as DNA), phenotypic and genotypic data further enhances research endeavors. Here we discuss a large collaboration among academic investigators, government, and non-government organizations which has created a public repository of human DNA, immortalized cell lines, and clinical data to further gene discovery in ALS. This resource currently maintains samples and associated phenotypic data from 2332 MND subjects and 4692 controls. This resource should facilitate genetic discoveries which we anticipate will ultimately provide a better understanding of the biological mechanisms of neurodegeneration in ALS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
France 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Student > Bachelor 10 16%
Researcher 8 13%
Professor 7 11%
Student > Postgraduate 4 6%
Other 18 28%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 27%
Biochemistry, Genetics and Molecular Biology 11 17%
Medicine and Dentistry 9 14%
Neuroscience 8 13%
Nursing and Health Professions 2 3%
Other 8 13%
Unknown 9 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 09 January 2018.
All research outputs
#4,053,389
of 22,770,070 outputs
Outputs from PLOS ONE
#57,840
of 194,252 outputs
Outputs of similar age
#18,844
of 155,779 outputs
Outputs of similar age from PLOS ONE
#69
of 196 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,252 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 70% 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 155,779 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 87% of its contemporaries.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.