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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Negative Enrichment of Circulating Tumor Cells in Blood Using a Microfluidic Chip.
|
|---|---|
| Chapter number | 13 |
| Book title |
Microchip Diagnostics
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6734-6_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6732-2, 978-1-4939-6734-6
|
| Authors |
Hamizah A. Cognart, Chia-Pin Chang |
| Editors |
Valérie Taly, Jean-Louis Viovy, Stéphanie Descroix |
| Abstract |
The enumeration and analysis of circulating tumor cells (CTCs) is an increasing interest for monitoring disease progression or response to treatment, specifically as a companion diagnostic for new anticancer drugs, and for research into the mechanisms of disease progression and metastases. Ideally, CTCs would be enriched from very small samples, with minimal handling, high recovery, and no requirement for the expression of specific surface markers. Here, we describe negative enrichment as the preferred approach for cancer cell isolation using a microfluidic platform. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Canada | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 33% |
| Other | 2 | 33% |
| Student > Master | 2 | 33% |
| Student > Doctoral Student | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 2 | 33% |
| Biochemistry, Genetics and Molecular Biology | 2 | 33% |
| Chemistry | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
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 19 January 2017.
All research outputs
#15,423,393
of 22,931,367 outputs
Outputs from Methods in molecular biology
#5,361
of 13,127 outputs
Outputs of similar age
#256,718
of 420,713 outputs
Outputs of similar age from Methods in molecular biology
#466
of 1,074 outputs
Altmetric has tracked 22,931,367 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 13,127 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 420,713 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.