| Title |
Real-time Colorimetric Quantitative Molecular Detection of Infectious Diseases on Smartphone-based Diagnostic Platform
|
|---|---|
| Published in |
Scientific Reports, June 2020
|
| DOI | 10.1038/s41598-020-65899-w |
| Pubmed ID | |
| Authors |
Kun Yin, Vikram Pandian, Karteek Kadimisetty, Xin Zhang, Carlos Ruiz, Kumarasen Cooper, Changchun Liu |
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 % |
|---|---|---|
| France | 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 18% |
| Student > Bachelor | 9 | 12% |
| Researcher | 8 | 11% |
| Student > Doctoral Student | 5 | 7% |
| Other | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 27 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 23% |
| Engineering | 6 | 8% |
| Chemistry | 4 | 5% |
| Materials Science | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 31 | 42% |
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 02 June 2020.
All research outputs
#20,620,796
of 23,211,181 outputs
Outputs from Scientific Reports
#107,419
of 125,494 outputs
Outputs of similar age
#340,550
of 398,035 outputs
Outputs of similar age from Scientific Reports
#3,273
of 3,687 outputs
Altmetric has tracked 23,211,181 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 125,494 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. 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 398,035 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 3,687 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.