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Molecular Biomarker Analyses Using Circulating Tumor Cells

Overview of attention for article published in PLOS ONE, September 2010
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
12 patents
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
278 Dimensions

Readers on

mendeley
279 Mendeley
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Title
Molecular Biomarker Analyses Using Circulating Tumor Cells
Published in
PLOS ONE, September 2010
DOI 10.1371/journal.pone.0012517
Pubmed ID
Authors

Elizabeth A. Punnoose, Siminder K. Atwal, Jill M. Spoerke, Heidi Savage, Ajay Pandita, Ru-Fang Yeh, Andrea Pirzkall, Bernard M. Fine, Lukas C. Amler, Daniel S. Chen, Mark R. Lackner

Abstract

Evaluation of cancer biomarkers from blood could significantly enable biomarker assessment by providing a relatively non-invasive source of representative tumor material. Circulating Tumor Cells (CTCs) isolated from blood of metastatic cancer patients hold significant promise in this regard.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
France 3 1%
Italy 3 1%
Korea, Republic of 2 <1%
Ireland 1 <1%
Israel 1 <1%
Portugal 1 <1%
Canada 1 <1%
Netherlands 1 <1%
Other 2 <1%
Unknown 260 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 64 23%
Student > Ph. D. Student 58 21%
Student > Master 37 13%
Student > Bachelor 22 8%
Professor > Associate Professor 20 7%
Other 48 17%
Unknown 30 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 33%
Medicine and Dentistry 55 20%
Biochemistry, Genetics and Molecular Biology 34 12%
Engineering 27 10%
Chemistry 17 6%
Other 19 7%
Unknown 35 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 07 November 2023.
All research outputs
#2,500,006
of 23,394,907 outputs
Outputs from PLOS ONE
#31,691
of 200,028 outputs
Outputs of similar age
#9,668
of 96,635 outputs
Outputs of similar age from PLOS ONE
#170
of 882 outputs
Altmetric has tracked 23,394,907 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 200,028 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 84% 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 96,635 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 89% of its contemporaries.
We're also able to compare this research output to 882 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.