↓ Skip to main content

Direct measurement of Kramers turnover with a levitated nanoparticle

Overview of attention for article published in Nature Nanotechnology, October 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
12 news outlets
blogs
2 blogs
twitter
11 X users
googleplus
1 Google+ user

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
132 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Direct measurement of Kramers turnover with a levitated nanoparticle
Published in
Nature Nanotechnology, October 2017
DOI 10.1038/nnano.2017.198
Pubmed ID
Authors

Loïc Rondin, Jan Gieseler, Francesco Ricci, Romain Quidant, Christoph Dellago, Lukas Novotny

Abstract

Understanding the thermally activated escape from a metastable state is at the heart of important phenomena such as the folding dynamics of proteins, the kinetics of chemical reactions or the stability of mechanical systems. In 1940, Kramers calculated escape rates both in the high damping and low damping regimes, and suggested that the rate must have a maximum for intermediate damping. This phenomenon, today known as the Kramers turnover, has triggered important theoretical and numerical studies. However, as yet, there is no direct and quantitative experimental verification of this turnover. Using a nanoparticle trapped in a bistable optical potential, we experimentally measure the nanoparticle's transition rates for variable damping and directly resolve the Kramers turnover. Our measurements are in agreement with an analytical model that is free of adjustable parameters. The levitated nanoparticle presented here is a versatile experimental platform for studying and simulating a wide range of stochastic processes and testing theoretical models and predictions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 27%
Researcher 21 16%
Student > Master 15 11%
Professor 10 8%
Student > Doctoral Student 9 7%
Other 19 14%
Unknown 22 17%
Readers by discipline Count As %
Physics and Astronomy 67 51%
Engineering 13 10%
Chemistry 10 8%
Biochemistry, Genetics and Molecular Biology 3 2%
Agricultural and Biological Sciences 3 2%
Other 9 7%
Unknown 27 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 105. 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 21 September 2021.
All research outputs
#338,854
of 22,961,203 outputs
Outputs from Nature Nanotechnology
#322
of 3,414 outputs
Outputs of similar age
#8,040
of 327,683 outputs
Outputs of similar age from Nature Nanotechnology
#11
of 66 outputs
Altmetric has tracked 22,961,203 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 3,414 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.0. This one has done particularly well, scoring higher than 90% 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 327,683 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 97% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.