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Primary Patient-Derived Cancer Cells and Their Potential for Personalized Cancer Patient Care

Overview of attention for article published in Cell Reports, December 2017
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

news
1 news outlet
twitter
16 X users
patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
157 Dimensions

Readers on

mendeley
335 Mendeley
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Title
Primary Patient-Derived Cancer Cells and Their Potential for Personalized Cancer Patient Care
Published in
Cell Reports, December 2017
DOI 10.1016/j.celrep.2017.11.051
Pubmed ID
Authors

David P. Kodack, Anna F. Farago, Anahita Dastur, Matthew A. Held, Leila Dardaei, Luc Friboulet, Friedrich von Flotow, Leah J. Damon, Dana Lee, Melissa Parks, Richard Dicecca, Max Greenberg, Krystina E. Kattermann, Amanda K. Riley, Florian J. Fintelmann, Coleen Rizzo, Zofia Piotrowska, Alice T. Shaw, Justin F. Gainor, Lecia V. Sequist, Matthew J. Niederst, Jeffrey A. Engelman, Cyril H. Benes

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 335 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 335 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 19%
Researcher 55 16%
Student > Master 30 9%
Student > Bachelor 23 7%
Other 17 5%
Other 48 14%
Unknown 98 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 99 30%
Agricultural and Biological Sciences 33 10%
Medicine and Dentistry 29 9%
Pharmacology, Toxicology and Pharmaceutical Science 12 4%
Engineering 10 3%
Other 35 10%
Unknown 117 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 January 2024.
All research outputs
#1,791,102
of 25,837,817 outputs
Outputs from Cell Reports
#4,076
of 13,189 outputs
Outputs of similar age
#38,994
of 447,443 outputs
Outputs of similar age from Cell Reports
#94
of 293 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,189 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has gotten more attention than average, scoring higher than 69% 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 447,443 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 91% of its contemporaries.
We're also able to compare this research output to 293 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 67% of its contemporaries.