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Mendeley readers
Attention Score in Context
Chapter title |
Automated Microfluidic Filtration and Immunocytochemistry Detection System for Capture and Enumeration of Circulating Tumor Cells and Other Rare Cell Populations in Blood
|
---|---|
Chapter number | 9 |
Book title |
Circulating Tumor Cells
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7144-2_9 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7143-5, 978-1-4939-7144-2
|
Authors |
Michael Pugia, Mark Jesus M. Magbanua, John W. Park, Pugia, Michael, Magbanua, Mark Jesus M., Park, John W. |
Abstract |
Isolation by size using a filter membrane offers an antigen-independent method for capturing rare cells present in blood of cancer patients. Multiple cell types, including circulating tumor cells (CTCs), captured on the filter membrane can be simultaneously identified via immunocytochemistry (ICC) analysis of specific cellular biomarkers. Here, we describe an automated microfluidic filtration method combined with a liquid handling system for sequential ICC assays to detect and enumerate non-hematologic rare cells in blood. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 30% |
Student > Ph. D. Student | 2 | 20% |
Researcher | 2 | 20% |
Other | 1 | 10% |
Unknown | 2 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 30% |
Biochemistry, Genetics and Molecular Biology | 2 | 20% |
Engineering | 1 | 10% |
Design | 1 | 10% |
Unknown | 3 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 September 2021.
All research outputs
#15,505,836
of 23,043,346 outputs
Outputs from Methods in molecular biology
#5,403
of 13,194 outputs
Outputs of similar age
#257,527
of 421,409 outputs
Outputs of similar age from Methods in molecular biology
#469
of 1,074 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 421,409 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.