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A generalizable pre-clinical research approach for orphan disease therapy

Overview of attention for article published in Orphanet Journal of Rare Diseases, June 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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1 blog
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10 X users
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1 Facebook page

Citations

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33 Dimensions

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89 Mendeley
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Title
A generalizable pre-clinical research approach for orphan disease therapy
Published in
Orphanet Journal of Rare Diseases, June 2012
DOI 10.1186/1750-1172-7-39
Pubmed ID
Authors

Chandree L Beaulieu, Mark E Samuels, Sean Ekins, Christopher R McMaster, Aled M Edwards, Adrian R Krainer, Geoffrey G Hicks, Brendan J Frey, Kym M Boycott, Alex E MacKenzie

Abstract

With the advent of next-generation DNA sequencing, the pace of inherited orphan disease gene identification has increased dramatically, a situation that will continue for at least the next several years. At present, the numbers of such identified disease genes significantly outstrips the number of laboratories available to investigate a given disorder, an asymmetry that will only increase over time. The hope for any genetic disorder is, where possible and in addition to accurate diagnostic test formulation, the development of therapeutic approaches. To this end, we propose here the development of a strategic toolbox and preclinical research pathway for inherited orphan disease. Taking much of what has been learned from rare genetic disease research over the past two decades, we propose generalizable methods utilizing transcriptomic, system-wide chemical biology datasets combined with chemical informatics and, where possible, repurposing of FDA approved drugs for pre-clinical orphan disease therapies. It is hoped that this approach may be of utility for the broader orphan disease research community and provide funding organizations and patient advocacy groups with suggestions for the optimal path forward. In addition to enabling academic pre-clinical research, strategies such as this may also aid in seeding startup companies, as well as further engaging the pharmaceutical industry in the treatment of rare genetic disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Netherlands 1 1%
Spain 1 1%
Unknown 83 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 27%
Student > Ph. D. Student 16 18%
Student > Master 11 12%
Student > Bachelor 9 10%
Student > Doctoral Student 5 6%
Other 12 13%
Unknown 12 13%
Readers by discipline Count As %
Medicine and Dentistry 17 19%
Agricultural and Biological Sciences 14 16%
Biochemistry, Genetics and Molecular Biology 14 16%
Computer Science 4 4%
Social Sciences 4 4%
Other 19 21%
Unknown 17 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 April 2016.
All research outputs
#2,313,506
of 23,577,654 outputs
Outputs from Orphanet Journal of Rare Diseases
#289
of 2,719 outputs
Outputs of similar age
#14,852
of 167,448 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#1
of 13 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,719 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 89% 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 167,448 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 91% of its contemporaries.
We're also able to compare this research output to 13 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 92% of its contemporaries.