| Title |
Quantum dots-based lateral flow immunoassay combined with image analysis for semiquantitative detection of IgE antibody to mite
|
|---|---|
| Published in |
International Journal of Nanomedicine, July 2017
|
| DOI | 10.2147/ijn.s134539 |
| Pubmed ID | |
| Authors |
Yan Zhao, Qiang Zhang, Qingfeng Meng, Fenglian Wu, Lihua Zhang, Yao Tang, Yuanyuan Guan, Lixin An |
| Abstract |
Semiquantitative and rapid detection of specific IgE (sIgE) with well clinical relevance to house dust mite (HDM) are promising for prevalence rhinitis and asthma patients due to the increasing air pollution. However, the conventional IgE measurement systems are time-consuming, complicated and require special instruments. Herein, we overcome the above limitations of sIgE to HDM detection system by developing a quantum dot nanobeads-based lateral flow immunoassay and an image analysis procedure. The proposed detection system could semiquantitatively measure the IgE in a linear range of 0.2-10 U/mL. Moreover, there is a well correlation between the developed detection system and the clinical symptoms by a comparison study using 56 positive patients' sera and 40 healthy control sera. The proposed detection system is simple, robust and easy-to-use and promising for in home test. |
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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 14% |
| Student > Master | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Bachelor | 3 | 7% |
| Lecturer | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 18 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 12% |
| Medicine and Dentistry | 4 | 10% |
| Materials Science | 4 | 10% |
| Chemistry | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 19 | 45% |
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 10 October 2023.
All research outputs
#7,357,897
of 25,382,440 outputs
Outputs from International Journal of Nanomedicine
#814
of 4,122 outputs
Outputs of similar age
#109,335
of 326,871 outputs
Outputs of similar age from International Journal of Nanomedicine
#17
of 91 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,122 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 78% 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 326,871 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 65% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.