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From big data analysis to personalized medicine for all: challenges and opportunities

Overview of attention for article published in BMC Medical Genomics, June 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 1,136)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

twitter
32 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
349 Dimensions

Readers on

mendeley
768 Mendeley
citeulike
6 CiteULike
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Title
From big data analysis to personalized medicine for all: challenges and opportunities
Published in
BMC Medical Genomics, June 2015
DOI 10.1186/s12920-015-0108-y
Pubmed ID
Authors

Akram Alyass, Michelle Turcotte, David Meyre

Abstract

Recent advances in high-throughput technologies have led to the emergence of systems biology as a holistic science to achieve more precise modeling of complex diseases. Many predict the emergence of personalized medicine in the near future. We are, however, moving from two-tiered health systems to a two-tiered personalized medicine. Omics facilities are restricted to affluent regions, and personalized medicine is likely to widen the growing gap in health systems between high and low-income countries. This is mirrored by an increasing lag between our ability to generate and analyze big data. Several bottlenecks slow-down the transition from conventional to personalized medicine: generation of cost-effective high-throughput data; hybrid education and multidisciplinary teams; data storage and processing; data integration and interpretation; and individual and global economic relevance. This review provides an update of important developments in the analysis of big data and forward strategies to accelerate the global transition to personalized medicine.

Twitter Demographics

The data shown below were collected from the profiles of 32 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 768 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Brazil 3 <1%
Canada 2 <1%
Luxembourg 2 <1%
Spain 2 <1%
Sweden 1 <1%
Finland 1 <1%
Indonesia 1 <1%
Denmark 1 <1%
Other 3 <1%
Unknown 749 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 144 19%
Researcher 125 16%
Student > Master 118 15%
Student > Bachelor 88 11%
Student > Doctoral Student 39 5%
Other 139 18%
Unknown 115 15%
Readers by discipline Count As %
Medicine and Dentistry 107 14%
Computer Science 103 13%
Biochemistry, Genetics and Molecular Biology 99 13%
Agricultural and Biological Sciences 87 11%
Engineering 47 6%
Other 178 23%
Unknown 147 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 30 March 2018.
All research outputs
#1,316,185
of 21,346,066 outputs
Outputs from BMC Medical Genomics
#35
of 1,136 outputs
Outputs of similar age
#18,099
of 246,302 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 3 outputs
Altmetric has tracked 21,346,066 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 1,136 research outputs from this source. They receive a mean Attention Score of 4.4. 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 246,302 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 92% of its contemporaries.
We're also able to compare this research output to 3 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