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Metal-Induced Energy Transfer (MIET) for Live-Cell Imaging with Fluorescent Proteins

Overview of attention for article published in ACS Nano, March 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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21 X users

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32 Mendeley
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Article details
Title
Metal-Induced Energy Transfer (MIET) for Live-Cell Imaging with Fluorescent Proteins
Published in
ACS Nano, March 2023
DOI 10.1021/acsnano.2c12372
Pubmed ID
Authors
Abstract

Metal-induced energy transfer (MIET) imaging is an easy-to-implement super-resolution modality that achieves nanometer resolution along the optical axis of a microscope. Although its capability in numerous biological and biophysical studies has been demonstrated, its implementation for live-cell imaging with fluorescent proteins is still lacking. Here, we present its applicability and capabilities for live-cell imaging with fluorescent proteins in diverse cell types (adult human stem cells, human osteo-sarcoma cells, and Dictyostelium discoideum cells), and with various fluorescent proteins (GFP, mScarlet, RFP, YPet). We show that MIET imaging achieves nanometer axial mapping of living cellular and subcellular components across multiple time scales, from a few milliseconds to hours, with negligible phototoxic effects.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Researcher 5 16%
Student > Doctoral Student 1 3%
Student > Bachelor 1 3%
Professor 1 3%
Other 2 6%
Unknown 17 53%
Readers by discipline
Readers by discipline Count As %
Physics and Astronomy 5 16%
Biochemistry, Genetics and Molecular Biology 3 9%
Engineering 3 9%
Chemistry 2 6%
Unknown 19 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 03 July 2023.
All research outputs
#3,284,928
of 27,655,936 outputs
Outputs from ACS Nano
#2,995
of 17,804 outputs
Outputs of similar age
#59,421
of 434,519 outputs
Outputs of similar age from ACS Nano
#54
of 420 outputs
Altmetric has tracked 27,655,936 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,804 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done well, scoring higher than 83% 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 434,519 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 420 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.