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Organizing knowledge to enable personalization of medicine in cancer

Overview of attention for article published in Genome Biology, August 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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
twitter
211 X users
facebook
4 Facebook pages
googleplus
3 Google+ users

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
160 Mendeley
citeulike
2 CiteULike
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Title
Organizing knowledge to enable personalization of medicine in cancer
Published in
Genome Biology, August 2014
DOI 10.1186/s13059-014-0438-7
Pubmed ID
Authors

Benjamin M Good, Benjamin J Ainscough, Josh F McMichael, Andrew I Su, Obi L Griffith

Abstract

Interpretation of the clinical significance of genomic alterations remains the most severe bottleneck preventing the realization of personalized medicine in cancer. We propose a knowledge commons to facilitate collaborative contributions and open discussion of clinical decision-making based on genomic events in cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 211 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 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 6%
Canada 2 1%
Norway 1 <1%
Ghana 1 <1%
Finland 1 <1%
Netherlands 1 <1%
Spain 1 <1%
Brazil 1 <1%
Unknown 142 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 28%
Student > Ph. D. Student 25 16%
Student > Master 17 11%
Student > Bachelor 12 8%
Professor > Associate Professor 10 6%
Other 31 19%
Unknown 20 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 30%
Biochemistry, Genetics and Molecular Biology 30 19%
Medicine and Dentistry 20 13%
Computer Science 19 12%
Social Sciences 3 2%
Other 14 9%
Unknown 26 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 136. 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 01 August 2022.
All research outputs
#311,006
of 25,736,439 outputs
Outputs from Genome Biology
#128
of 4,509 outputs
Outputs of similar age
#2,652
of 247,957 outputs
Outputs of similar age from Genome Biology
#3
of 101 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 97% 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 247,957 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 98% of its contemporaries.
We're also able to compare this research output to 101 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 97% of its contemporaries.