The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
| Title |
Rapid detection of bacterial resistance to antibiotics using AFM cantilevers as nanomechanical sensors
|
|---|---|
| Published in |
Nature Nanotechnology, June 2013
|
| DOI | 10.1038/nnano.2013.120 |
| Pubmed ID | |
| Authors |
G. Longo, L. Alonso-Sarduy, L. Marques Rio, A. Bizzini, A. Trampuz, J. Notz, G. Dietler, S. Kasas |
| Abstract |
The widespread misuse of drugs has increased the number of multiresistant bacteria, and this means that tools that can rapidly detect and characterize bacterial response to antibiotics are much needed in the management of infections. Various techniques, such as the resazurin-reduction assays, the mycobacterial growth indicator tube or polymerase chain reaction-based methods, have been used to investigate bacterial metabolism and its response to drugs. However, many are relatively expensive or unable to distinguish between living and dead bacteria. Here we show that the fluctuations of highly sensitive atomic force microscope cantilevers can be used to detect low concentrations of bacteria, characterize their metabolism and quantitatively screen (within minutes) their response to antibiotics. We applied this methodology to Escherichia coli and Staphylococcus aureus, showing that live bacteria produced larger cantilever fluctuations than bacteria exposed to antibiotics. Our preliminary experiments suggest that the fluctuation is associated with bacterial metabolism. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 11% |
| United States | 1 | 11% |
| India | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Scientists | 4 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 366 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 1% |
| France | 3 | <1% |
| United States | 3 | <1% |
| United Kingdom | 3 | <1% |
| Switzerland | 2 | <1% |
| India | 2 | <1% |
| Chile | 1 | <1% |
| Canada | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 342 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 103 | 28% |
| Researcher | 71 | 19% |
| Student > Master | 41 | 11% |
| Student > Bachelor | 28 | 8% |
| Professor > Associate Professor | 17 | 5% |
| Other | 50 | 14% |
| Unknown | 56 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 69 | 19% |
| Agricultural and Biological Sciences | 61 | 17% |
| Physics and Astronomy | 50 | 14% |
| Biochemistry, Genetics and Molecular Biology | 26 | 7% |
| Chemistry | 24 | 7% |
| Other | 55 | 15% |
| Unknown | 81 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 86. 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 05 December 2023.
All research outputs
#523,663
of 26,439,667 outputs
Outputs from Nature Nanotechnology
#509
of 3,871 outputs
Outputs of similar age
#3,614
of 208,646 outputs
Outputs of similar age from Nature Nanotechnology
#2
of 61 outputs
Altmetric has tracked 26,439,667 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,871 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one has done well, scoring higher than 86% 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 208,646 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 98% of its contemporaries.
We're also able to compare this research output to 61 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 96% of its contemporaries.