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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Silicon Nanomaterials for Biosensing and Bioimaging Analysis
|
|---|---|
| Published in |
Frontiers in Chemistry, February 2018
|
| DOI | 10.3389/fchem.2018.00038 |
| Pubmed ID | |
| Authors |
Xiaoyuan Ji, Houyu Wang, Bin Song, Binbin Chu, Yao He |
| Abstract |
Biochemical analysis in reliable, low-toxicity, and real-time manners are essentially important for exploring and unraveling biological events and related mechanisms. Silicon nanomaterial-based sensors and probes have potentiality to satisfy the above-mentioned requirements. Herein, we present an overview of the recent significant improvement in large-scale and facile synthesis of high-quality silicon nanomaterials and the research progress of biosensing and bioimaging analysis based on silicon nanomaterials. We especially illustrate the advanced applications of silicon nanomaterials in the field of ultrasensitive biomolecular detection and dynamic biological imaging analysis, with a focus on real-time and long-term detection. In the final section of this review, we discuss the major challenges and promising development in this domain. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 16% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Bachelor | 9 | 11% |
| Other | 5 | 6% |
| Unspecified | 4 | 5% |
| Other | 15 | 19% |
| Unknown | 22 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Materials Science | 8 | 10% |
| Chemistry | 7 | 9% |
| Engineering | 6 | 8% |
| Chemical Engineering | 5 | 6% |
| Other | 17 | 22% |
| Unknown | 28 | 35% |
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 24 April 2024.
All research outputs
#16,256,812
of 25,773,273 outputs
Outputs from Frontiers in Chemistry
#1,213
of 6,832 outputs
Outputs of similar age
#199,398
of 345,207 outputs
Outputs of similar age from Frontiers in Chemistry
#25
of 107 outputs
Altmetric has tracked 25,773,273 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,832 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 81% 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 345,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.