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Optimization of personalized therapies for anticancer treatment

Overview of attention for article published in BMC Systems Biology, April 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
3 X users
patent
8 patents

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
2 CiteULike
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Title
Optimization of personalized therapies for anticancer treatment
Published in
BMC Systems Biology, April 2013
DOI 10.1186/1752-0509-7-31
Pubmed ID
Authors

Alexei Vazquez

Abstract

As today, there are hundreds of targeted therapies for the treatment of cancer, many of which have companion biomarkers that are in use to inform treatment decisions. If we would consider this whole arsenal of targeted therapies as a treatment option for every patient, very soon we will reach a scenario where each patient is positive for several markers suggesting their treatment with several targeted therapies. Given the documented side effects of anticancer drugs, it is clear that such a strategy is unfeasible.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
United States 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 36%
Student > Ph. D. Student 6 14%
Other 5 12%
Professor > Associate Professor 4 10%
Student > Master 3 7%
Other 2 5%
Unknown 7 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 29%
Biochemistry, Genetics and Molecular Biology 6 14%
Medicine and Dentistry 4 10%
Computer Science 4 10%
Engineering 4 10%
Other 6 14%
Unknown 6 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 June 2019.
All research outputs
#7,355,930
of 25,373,627 outputs
Outputs from BMC Systems Biology
#239
of 1,132 outputs
Outputs of similar age
#59,659
of 211,572 outputs
Outputs of similar age from BMC Systems Biology
#5
of 22 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% 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 211,572 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.