↓ Skip to main content
Altmetric Badge

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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

patent
4 patents

Readers on

mendeley
71 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Label-Free Isolation and mRNA Detection of Circulating Tumor Cells from Patients with Metastatic Lung Cancer for Disease Diagnosis and Monitoring Therapeutic Efficacy
Published in
Analytical Chemistry, November 2015
DOI 10.1021/acs.analchem.5b03484
Pubmed ID
Authors
Abstract

We develop an inertial-based microfluidic cell sorter combined with an integrated membrane filter, allowing for size-based, label-free and high-efficient separation and enrichment of circulating tumor cells (CTCs) in whole blood. The cell sorter is composed of a double spiral microchannel that hydrodynamically focuses and separates large CTCs from small blood cells. The focused CTCs with the equilibrium position around the midline of microchannel are further captured and enriched by a membrane filter (pore size of 8 μm) attached at the middle outlet. This integrated microfluidic device can process 1 mL of whole blood containing spiked tumor cells (A549, human lung adenocarcinoma epithelial cell line) within 15 min, with the capture efficiency of 74.4 % at the concentration as low as tens of A549 cells per mL whole blood. This microfluidic cell sorter is further adopted for isolation of CTCs from peripheral blood samples of patients with metastatic lung cancer. The immunostaining and CK-19 mRNA detection are applied for identification of captured CTCs, showing that our method can detect 90 % of metastatic lung cancer patients before therapy, whereas the commercially used system can only detect 40 % of the same patients. We also use the expression of CK-19 mRNA from captured CTCs as an indicator for monitoring the therapeutic efficiency, which correlates well with x-ray computed tomography (CT) assessment of the disease.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 3%
Unknown 69 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 19 27%
Researcher 8 11%
Student > Master 7 10%
Student > Doctoral Student 3 4%
Student > Bachelor 3 4%
Other 10 14%
Unknown 21 30%
Readers by discipline
Readers by discipline Count As %
Engineering 21 30%
Agricultural and Biological Sciences 7 10%
Chemistry 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Medicine and Dentistry 4 6%
Other 5 7%
Unknown 25 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 23 July 2024.
All research outputs
#4,943,972
of 33,493,714 outputs
Outputs from Analytical Chemistry
#3,678
of 35,358 outputs
Outputs of similar age
#53,205
of 316,273 outputs
Outputs of similar age from Analytical Chemistry
#37
of 272 outputs
Altmetric has tracked 33,493,714 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 35,358 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 85% 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 316,273 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 82% of its contemporaries.
We're also able to compare this research output to 272 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.