| Title |
The future point-of-care detection of disease and its data capture and handling
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, January 2016
|
| DOI | 10.1007/s00216-015-9249-2 |
| Pubmed ID | |
| Authors |
Natalia Lopez-Barbosa, Jorge D. Gamarra, Johann F. Osma |
| Abstract |
Point-of-care detection is a widely studied area that attracts effort and interest from a large number of fields and companies. However, there is also increased interest from the general public in this type of device, which has driven enormous changes in the design and conception of these developments and the way data is handled. Therefore, future point-of-care detection has to include communication with front-end technology, such as smartphones and networks, automation of manufacture, and the incorporation of concepts like the Internet of Things (IoT) and cloud computing. Three key examples, based on different sensing technology, are analyzed in detail on the basis of these items to highlight a route for the future design and development of point-of-care detection devices and their data capture and handling. Graphical Abstract The future Point-of-care device key elements: recognition element, end user device and integration to other technological platforms and manufacture processes. |
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 % |
|---|---|---|
| Colombia | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 19% |
| Student > Master | 6 | 19% |
| Researcher | 3 | 9% |
| Student > Postgraduate | 2 | 6% |
| Other | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 8 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 7 | 22% |
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Engineering | 4 | 13% |
| Business, Management and Accounting | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 11 | 34% |
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 19 January 2019.
All research outputs
#16,048,009
of 25,374,647 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,978
of 9,619 outputs
Outputs of similar age
#219,763
of 402,280 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#43
of 104 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 45th percentile – i.e., 45% 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 402,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 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 56% of its contemporaries.