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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The Introduction and Clinical Application of Cell-Free Tumor DNA
|
|---|---|
| Chapter number | 4 |
| Book title |
Computational Systems Biology
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7717-8_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7716-1, 978-1-4939-7717-8
|
| Authors |
Jun Li, Renzhong Liu, Cuihong Huang, Shifu Chen, Mingyan Xu, Li, Jun, Liu, Renzhong, Huang, Cuihong, Chen, Shifu, Xu, Mingyan |
| Abstract |
Cell-free tumor DNA (ctDNA) is a kind of potential tumor biomarkers originated from cancer lesion in the circulating liquids. Liquid biopsy, as a minimally invasive or noninvasive manner, is a cutting-edge technology to detect ctDNA and other circulating biomarkers in the blood or other body fluids. ctDNA is mostly used for cancer patients to select targeted drugs in clinical application. In addition, ctDNA could also be applied to monitor tumor progression and recurrence. In conclusion, ctDNA is a very promising tumor biomarker for diagnosis and monitoring, which would increasingly become a routine clinical application in recent years. |
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 % |
|---|---|---|
| Unknown | 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 16% |
| Student > Ph. D. Student | 3 | 16% |
| Other | 2 | 11% |
| Researcher | 2 | 11% |
| Librarian | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 5 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 32% |
| Biochemistry, Genetics and Molecular Biology | 5 | 26% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 26% |
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 29 January 2019.
All research outputs
#20,469,520
of 23,028,364 outputs
Outputs from Methods in molecular biology
#9,953
of 13,175 outputs
Outputs of similar age
#378,217
of 442,381 outputs
Outputs of similar age from Methods in molecular biology
#1,194
of 1,499 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,175 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 442,381 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.