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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detection and quantification of poliovirus infection using FTIR spectroscopy and cell culture
|
|---|---|
| Published in |
Journal of Biological Engineering, December 2011
|
| DOI | 10.1186/1754-1611-5-16 |
| Pubmed ID | |
| Authors |
Felipe T Lee-Montiel, Kelly A Reynolds, Mark R Riley |
| Abstract |
In a globalized word, prevention of infectious diseases is a major challenge. Rapid detection of viable virus particles in water and other environmental samples is essential to public health risk assessment, homeland security and environmental protection. Current virus detection methods, especially assessing viral infectivity, are complex and time-consuming, making point-of-care detection a challenge. Faster, more sensitive, highly specific methods are needed to quantify potentially hazardous viral pathogens and to determine if suspected materials contain viable viral particles. Fourier transform infrared (FTIR) spectroscopy combined with cellular-based sensing, may offer a precise way to detect specific viruses. This approach utilizes infrared light to monitor changes in molecular components of cells by tracking changes in absorbance patterns produced following virus infection. In this work poliovirus (PV1) was used to evaluate the utility of FTIR spectroscopy with cell culture for rapid detection of infective virus particles. |
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 % |
|---|---|---|
| United States | 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 82 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 18% |
| Student > Ph. D. Student | 15 | 18% |
| Student > Bachelor | 12 | 14% |
| Student > Doctoral Student | 8 | 10% |
| Professor | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 19 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 19% |
| Biochemistry, Genetics and Molecular Biology | 11 | 13% |
| Engineering | 8 | 10% |
| Physics and Astronomy | 5 | 6% |
| Chemistry | 4 | 5% |
| Other | 17 | 20% |
| Unknown | 22 | 27% |
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 28 May 2020.
All research outputs
#2,683,040
of 22,663,150 outputs
Outputs from Journal of Biological Engineering
#38
of 258 outputs
Outputs of similar age
#21,418
of 240,319 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 2 outputs
Altmetric has tracked 22,663,150 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 258 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 85% 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 240,319 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them