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Building towards precision medicine: empowering medical professionals for the next revolution

Overview of attention for article published in BMC Medical Genomics, May 2016
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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 (#25 of 1,329)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
13 X users
patent
3 patents
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
137 Mendeley
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Title
Building towards precision medicine: empowering medical professionals for the next revolution
Published in
BMC Medical Genomics, May 2016
DOI 10.1186/s12920-016-0183-8
Pubmed ID
Authors

Scott McGrath, Dario Ghersi

Abstract

A new paradigm in disease classification, diagnosis and treatment is rapidly approaching. Known as precision medicine, this new healthcare model incorporates and integrates genetic information, microbiome data, and information on patients' environment and lifestyle to better identify and classify disease processes, and to provide custom-tailored therapeutic solutions. In spite of its promises, precision medicine faces several challenges that need to be overcome to successfully implement this new healthcare model. In this paper we identify four main areas that require attention: data, tools and systems, regulations, and people. While there are important ongoing efforts for addressing the first three areas, we argue that the human factor needs to be taken into consideration as well. In particular, we discuss several studies that show how primary care physicians and clinicians in general feel underequipped to interpret genetic tests and direct-to-consumer genomic tests. Considering the importance of genetic information for precision medicine applications, this is a pressing issue that needs to be addressed. To increase the number of professionals with the necessary expertise to correctly interpret the genomics profiles of their patients, we propose several strategies that involve medical curriculum reforms, specialist training, and ongoing physician training.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 13%
Student > Ph. D. Student 17 12%
Other 11 8%
Student > Master 11 8%
Student > Bachelor 10 7%
Other 31 23%
Unknown 39 28%
Readers by discipline Count As %
Medicine and Dentistry 25 18%
Biochemistry, Genetics and Molecular Biology 17 12%
Agricultural and Biological Sciences 11 8%
Computer Science 7 5%
Engineering 5 4%
Other 29 21%
Unknown 43 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 29 August 2023.
All research outputs
#1,242,303
of 24,561,012 outputs
Outputs from BMC Medical Genomics
#25
of 1,329 outputs
Outputs of similar age
#21,754
of 310,499 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 11 outputs
Altmetric has tracked 24,561,012 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,329 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 98% 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 310,499 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 11 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 90% of its contemporaries.