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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Enumeration, Dielectrophoretic Capture, and Molecular Analysis of Circulating Tumor Cells
|
|---|---|
| Chapter number | 16 |
| Book title |
Circulating Tumor Cells
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-7144-2_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7143-5, 978-1-4939-7144-2
|
| Authors |
Stephanie S. Yee, Erica L. Carpenter, Yee, Stephanie S., Carpenter, Erica L. |
| Abstract |
The identification of therapeutically targetable mutations in circulating tumor cells (CTCs) from cancer patient blood is increasingly used to personalize patient care. Here, we describe a novel approach for the enumeration, capture, and molecular analysis of CTCs from blood using an FDA-approved CTC enrichment and enumeration platform followed by dielectrophoretic capture and next-generation sequencing. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 25% |
| Austria | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
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 % |
|---|---|---|
| Other | 1 | 33% |
| Unknown | 2 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 1 | 33% |
| Unknown | 2 | 67% |
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 30 April 2018.
All research outputs
#14,951,544
of 22,999,744 outputs
Outputs from Methods in molecular biology
#4,723
of 13,151 outputs
Outputs of similar age
#243,378
of 421,208 outputs
Outputs of similar age from Methods in molecular biology
#416
of 1,074 outputs
Altmetric has tracked 22,999,744 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 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% 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 421,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% 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 has gotten more attention than average, scoring higher than 56% of its contemporaries.