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Personalized medicine: risk prediction, targeted therapies and mobile health technology

Overview of attention for article published in BMC Medicine, February 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
46 X users
weibo
1 weibo user
facebook
4 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
243 Mendeley
citeulike
1 CiteULike
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Title
Personalized medicine: risk prediction, targeted therapies and mobile health technology
Published in
BMC Medicine, February 2014
DOI 10.1186/1741-7015-12-37
Pubmed ID
Authors

Daniel F Hayes, Hugh S Markus, R David Leslie, Eric J Topol

Abstract

Personalized medicine is increasingly being employed across many areas of clinical practice, as genes associated with specific diseases are discovered and targeted therapies are developed. Mobile apps are also beginning to be used in medicine with the aim of providing a personalized approach to disease management. In some areas of medicine, patient-tailored risk prediction and treatment are applied routinely in the clinic, whereas in other fields, more work is required to translate scientific advances into individualized treatment. In this forum article, we asked specialists in oncology, neurology, endocrinology and mobile health technology to discuss where we are in terms of personalized medicine, and address their visions for the future and the challenges that remain in their respective fields.

X Demographics

X Demographics

The data shown below were collected from the profiles of 46 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 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Brazil 1 <1%
Canada 1 <1%
Taiwan 1 <1%
Nigeria 1 <1%
Spain 1 <1%
United States 1 <1%
Croatia 1 <1%
Unknown 232 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 19%
Researcher 45 19%
Student > Master 39 16%
Student > Bachelor 25 10%
Student > Doctoral Student 12 5%
Other 39 16%
Unknown 38 16%
Readers by discipline Count As %
Medicine and Dentistry 64 26%
Computer Science 20 8%
Agricultural and Biological Sciences 17 7%
Biochemistry, Genetics and Molecular Biology 16 7%
Nursing and Health Professions 14 6%
Other 55 23%
Unknown 57 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 20 September 2022.
All research outputs
#1,065,109
of 25,706,302 outputs
Outputs from BMC Medicine
#746
of 4,071 outputs
Outputs of similar age
#10,251
of 236,348 outputs
Outputs of similar age from BMC Medicine
#10
of 57 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,071 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.9. This one has done well, scoring higher than 81% 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 236,348 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 95% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.