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Single Cell Analysis

Overview of attention for book
Attention for Chapter: Isolation and Genomic Analysis of Circulating Tumor Cell Clusters in Cancer Patients.
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  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

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3 Mendeley
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Chapter title
Isolation and Genomic Analysis of Circulating Tumor Cell Clusters in Cancer Patients.
Book title
Single Cell Analysis
Published in
Methods in molecular biology, January 2024
DOI 10.1007/978-1-0716-3621-3_7
Pubmed ID
Book ISBNs
978-1-07-163620-6, 978-1-07-163621-3
Authors

Reduzzi, Carolina, Vismara, Marta, Schamberger, Thomas, Silvestri, Marco, Motta, Rosita, Polzer, Bernhard M, Cappelletti, Vera, Carolina Reduzzi, Marta Vismara, Thomas Schamberger, Marco Silvestri, Rosita Motta, Bernhard M. Polzer, Vera Cappelletti, Polzer, Bernhard M.

Abstract

The role of circulating tumor cell (CTC) clusters in the metastatic dissemination process is gaining increased attention. Besides homotypic clusters, heterotypic clusters that contain tumor cells admixed with normal cells are frequently observed in patients with solid tumors. Current methods used for cluster detection and enumeration do not allow an accurate estimation of the relative fractions of tumor cells. Here we describe a method for estimating tumor fraction of clusters including isolation and collection of single clusters, assessment of copy number alterations of single clusters by low-pass whole genome sequencing, and bioinformatic analysis of sequencing data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 January 2024.
All research outputs
#16,552,693
of 25,142,442 outputs
Outputs from Methods in molecular biology
#5,265
of 14,123 outputs
Outputs of similar age
#89,599
of 189,797 outputs
Outputs of similar age from Methods in molecular biology
#70
of 219 outputs
Altmetric has tracked 25,142,442 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,123 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 58% 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 189,797 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 219 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 57% of its contemporaries.