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Sensor-based cell and tissue screening for personalized cancer chemotherapy

Overview of attention for article published in Medical & Biological Engineering & Computing, January 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 2,053)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
patent
12 patents

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
35 Mendeley
Title
Sensor-based cell and tissue screening for personalized cancer chemotherapy
Published in
Medical & Biological Engineering & Computing, January 2012
DOI 10.1007/s11517-011-0855-7
Pubmed ID
Authors

Regina Kleinhans, Martin Brischwein, Pei Wang, Bernhard Becker, Franz Demmel, Tobias Schwarzenberger, Marlies Zottmann, Peter Wolf, Axel Niendorf, Bernhard Wolf

Abstract

Personalized tumor chemotherapy depends on reliable assay methods, either based on molecular "predictive biomarkers" or on a direct, functional ex vivo assessment of cellular chemosensitivity. As a member of the latter category, a novel high-content platform is described monitoring human mamma carcinoma explants in real time and label-free before, during and after an ex vivo modeled chemotherapy. Tissue explants are sliced with a vibratome and laid into the microreaction chambers of a 24-well sensor test plate. Within these ~23 μl volume chambers, sensors for pH and dissolved oxygen record rates of cellular oxygen uptake and extracellular acidification. Robot-controlled fluid system and incubation are parts of the tissue culture maintenance system while an integrated microscope is used for process surveillance. Sliced surgical explants from breast cancerous tissue generate well-detectable ex vivo metabolic activity. Metabolic rates, in particular oxygen consumption rates have a tendency to decrease over time. Nonetheless, the impact of added drugs (doxorubicin, chloroacetaldehyde) is discriminable. Sensor-based platforms should be evaluated in explorative clinical studies for their suitability to support targeted systemic cancer therapy. Throughput is sufficient for testing various drugs in a range of concentrations while the information content obtained from multiparametric real-time analysis is superior to conventional endpoint assays.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Switzerland 1 3%
Australia 1 3%
Mexico 1 3%
United States 1 3%
Unknown 30 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 34%
Student > Master 7 20%
Researcher 5 14%
Professor 4 11%
Other 2 6%
Other 4 11%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 37%
Engineering 6 17%
Medicine and Dentistry 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 2 6%
Other 6 17%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 04 November 2023.
All research outputs
#2,088,948
of 25,374,647 outputs
Outputs from Medical & Biological Engineering & Computing
#9
of 2,053 outputs
Outputs of similar age
#15,097
of 253,433 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#1
of 14 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 99% 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 253,433 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 93% of its contemporaries.
We're also able to compare this research output to 14 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 92% of its contemporaries.