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Mendeley readers
Attention Score in Context
| Title |
Circulating tumor DNA in hepatocellular carcinoma: trends and challenges
|
|---|---|
| Published in |
Cell & Bioscience, May 2016
|
| DOI | 10.1186/s13578-016-0100-z |
| Pubmed ID | |
| Authors |
Jia-Cheng Tang, Yi-Li Feng, Tao Guo, An-Yong Xie, Xiu-Jun Cai |
| Abstract |
Molecular characterization of individual patients' tumor cells is becoming increasingly important in offering effective treatment for patients in clinical practice. Recent advances in the field have indicated that circulating tumor DNA (ctDNA) has huge potential to serve as a biomarker for early detection and precision treatment as well as prognosis of hepatocellular carcinoma (HCC). As ctDNA in HCC patients harbors the molecular characteristics of HCC tumor cells, ctDNA analysis in the blood may be sufficient for convenient, non-invasive and accurate detection, providing information for HCC diagnosis, treatment and prognosis. In this review, we will summarize and discuss current trends and challenges of ctDNA application in HCC. |
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 % |
|---|---|---|
| Sweden | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 75 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 21% |
| Researcher | 12 | 16% |
| Student > Master | 11 | 14% |
| Other | 10 | 13% |
| Student > Bachelor | 8 | 10% |
| Other | 10 | 13% |
| Unknown | 10 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 29% |
| Medicine and Dentistry | 21 | 27% |
| Agricultural and Biological Sciences | 14 | 18% |
| Computer Science | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 5 | 6% |
| Unknown | 12 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 January 2020.
All research outputs
#6,438,054
of 22,870,727 outputs
Outputs from Cell & Bioscience
#146
of 934 outputs
Outputs of similar age
#94,924
of 309,583 outputs
Outputs of similar age from Cell & Bioscience
#4
of 20 outputs
Altmetric has tracked 22,870,727 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 934 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 84% 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 309,583 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.