The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantitative detection of dengue serotypes using a smartphone-connected handheld lab-on-chip platform
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, September 2022
|
| DOI | 10.3389/fbioe.2022.892853 |
| Pubmed ID | |
| Authors |
Nicolas Moser, Ling-Shan Yu, Jesus Rodriguez Manzano, Kenny Malpartida-Cardenas, Anselm Au, Paul Arkell, Chiara Cicatiello, Ahmad Moniri, Luca Miglietta, Wen-Hung Wang, Sheng Fan Wang, Alison Holmes, Yen-Hsu Chen, Pantelis Georgiou |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 19% |
| Thailand | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 11 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Scientists | 5 | 31% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 13 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Chemistry | 1 | 5% |
| Engineering | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 13 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 03 October 2022.
All research outputs
#2,975,772
of 23,466,057 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#389
of 7,078 outputs
Outputs of similar age
#61,887
of 434,464 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#20
of 751 outputs
Altmetric has tracked 23,466,057 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,078 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 94% 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 434,464 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 751 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.