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Pharmacogenomic Modeling of Circulating Tumor and Invasive Cells for Prediction of Chemotherapy Response and Resistance in Pancreatic Cancer

Overview of attention for article published in Clinical Cancer Research, October 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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8 X users
patent
3 patents

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
83 Mendeley
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Title
Pharmacogenomic Modeling of Circulating Tumor and Invasive Cells for Prediction of Chemotherapy Response and Resistance in Pancreatic Cancer
Published in
Clinical Cancer Research, October 2014
DOI 10.1158/1078-0432.ccr-14-0531
Pubmed ID
Authors

Kenneth H. Yu, Mark Ricigliano, Manuel Hidalgo, Ghassan K. Abou-Alfa, Maeve A. Lowery, Leonard B. Saltz, Joseph F. Crotty, Kristen Gary, Brandon Cooper, Rena Lapidus, Mariola Sadowska, Eileen M. O'Reilly

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Netherlands 1 1%
Unknown 80 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 23%
Student > Ph. D. Student 11 13%
Other 7 8%
Student > Master 5 6%
Student > Bachelor 4 5%
Other 14 17%
Unknown 23 28%
Readers by discipline Count As %
Medicine and Dentistry 18 22%
Biochemistry, Genetics and Molecular Biology 14 17%
Agricultural and Biological Sciences 11 13%
Engineering 3 4%
Unspecified 2 2%
Other 6 7%
Unknown 29 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 02 June 2020.
All research outputs
#3,635,615
of 25,559,053 outputs
Outputs from Clinical Cancer Research
#3,176
of 13,257 outputs
Outputs of similar age
#39,884
of 268,513 outputs
Outputs of similar age from Clinical Cancer Research
#35
of 144 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,257 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done well, scoring higher than 76% 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 268,513 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.