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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Circulating Tumor Cells: From Theory to Nanotechnology-Based Detection
|
|---|---|
| Published in |
Frontiers in Pharmacology, February 2017
|
| DOI | 10.3389/fphar.2017.00035 |
| Pubmed ID | |
| Authors |
Yue Ming, Yuanyuan Li, Haiyan Xing, Minghe Luo, Ziwei Li, Jianhong Chen, Jingxin Mo, Sanjun Shi |
| Abstract |
Cancer stem cells with stem-cell properties are regarded as tumor initiating cells. Sharing stem-cell properties, circulating tumor cells (CTCs) are responsible for the development of metastasis, which significant affects CTC analysis in clinical practice. Due to their extremely low occurrence in blood, however, it is challenging to enumerate and analyze CTCs. Nanotechnology is able to address the problems of insufficient capture efficiency and low purity of CTCs owing to the unique structural and functional properties of nanomaterials, showing strong promise for CTC isolation and detection. In this review, we discuss the role of stem-like CTCs in metastases, provide insight into recent progress in CTC isolation and detection approaches using various nanoplatforms, and highlight the role of nanotechnology in the advancement of CTC research. |
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 % |
|---|---|---|
| India | 1 | 50% |
| Switzerland | 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 15% |
| Researcher | 11 | 15% |
| Student > Ph. D. Student | 11 | 15% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 8 | 11% |
| Unknown | 21 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 15% |
| Biochemistry, Genetics and Molecular Biology | 10 | 14% |
| Chemistry | 6 | 8% |
| Agricultural and Biological Sciences | 5 | 7% |
| Engineering | 4 | 6% |
| Other | 8 | 11% |
| Unknown | 27 | 38% |
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 23 February 2017.
All research outputs
#14,917,504
of 22,950,943 outputs
Outputs from Frontiers in Pharmacology
#5,247
of 16,228 outputs
Outputs of similar age
#242,817
of 420,361 outputs
Outputs of similar age from Frontiers in Pharmacology
#66
of 184 outputs
Altmetric has tracked 22,950,943 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 16,228 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 60% 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 420,361 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 184 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 59% of its contemporaries.