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Mendeley readers
Attention Score in Context
| Title |
Microfluidic platforms for biomarker analysis
|
|---|---|
| Published in |
Lab on a Chip - Miniaturisation for Chemistry & Biology, January 2014
|
| DOI | 10.1039/c3lc51124c |
| Pubmed ID | |
| Authors |
Sofia Nahavandi, Sara Baratchi, Rebecca Soffe, Shi-Yang Tang, Saeid Nahavandi, Arnan Mitchell, Khashayar Khoshmanesh |
| Abstract |
Biomarkers have been described as characteristics, most often molecular, that provide information about biological states, whether normal, pathological, or therapeutically modified. They hold great potential to assist diagnosis and prognosis, monitor disease, and assess therapeutic effectiveness. While a few biomarkers are routinely utilised clinically, these only reflect a very small percentage of all biomarkers discovered. Numerous factors contribute to the slow uptake of these new biomarkers, with challenges faced throughout the biomarker development pipeline. Microfluidics offers two important opportunities to the field of biomarkers: firstly, it can address some of these developmental obstacles, and secondly, it can provide the precise and complex platform required to bridge the gap between biomarker research and the biomarker-based analytical device market. Indeed, adoption of microfluidics has provided a new avenue for advancement, promoting clinical utilisation of both biomarkers and their analytical platforms. This review will discuss biomarkers and outline microfluidic platforms developed for biomarker analysis. |
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 % |
|---|---|---|
| Hungary | 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 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| Netherlands | 2 | <1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 262 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 93 | 34% |
| Student > Master | 43 | 16% |
| Researcher | 37 | 13% |
| Student > Doctoral Student | 18 | 7% |
| Student > Bachelor | 14 | 5% |
| Other | 31 | 11% |
| Unknown | 40 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 90 | 33% |
| Chemistry | 38 | 14% |
| Agricultural and Biological Sciences | 35 | 13% |
| Biochemistry, Genetics and Molecular Biology | 15 | 5% |
| Materials Science | 11 | 4% |
| Other | 35 | 13% |
| Unknown | 52 | 19% |
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 01 April 2014.
All research outputs
#20,970,494
of 25,756,911 outputs
Outputs from Lab on a Chip - Miniaturisation for Chemistry & Biology
#5,022
of 5,997 outputs
Outputs of similar age
#245,443
of 321,307 outputs
Outputs of similar age from Lab on a Chip - Miniaturisation for Chemistry & Biology
#276
of 358 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,997 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 10th percentile – i.e., 10% 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 321,307 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 358 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.