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A transistor-like pH nanoprobe for tumour detection and image-guided surgery

Overview of attention for article published in Nature Biomedical Engineering, December 2016
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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 (98th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
17 news outlets
blogs
1 blog
twitter
44 X users
patent
1 patent
facebook
6 Facebook pages
googleplus
1 Google+ user

Readers on

mendeley
140 Mendeley
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Article details
Title
A transistor-like pH nanoprobe for tumour detection and image-guided surgery
Published in
Nature Biomedical Engineering, December 2016
DOI 10.1038/s41551-016-0006
Pubmed ID
Authors
Abstract

Because of profound genetic and histological differences in cancerous tissue, it is challenging to detect a broad range of malignant tumours at high resolution. Here, we report the design and performance of a fluorescent nanoprobe with transistor-like responses (transition pH = 6.9) for the detection of the deregulated pH that drives many of the invasive properties of cancer. The nanoprobe amplifies fluorescence signal in the tumour over that in the surrounding normal tissues, resulting in a discretized, binary output signal with spatial resolution smaller than 1 mm. The nanoprobe allowed us to image a broad range of tumours in mouse models using a variety of clinical cameras, and to perform real-time tumour-acidosis-guided detection and surgery of occult nodules (< 1 mm(3)) in mice bearing head-and-neck or breast tumours, significantly lengthening mice survivability. We also show that the pH nanoprobe can be used as a reporter in a fast, quantitative assay to screen for tumour-acidosis inhibitors. The binary delineation of pH achieved by the nanoprobe promises to improve the accuracy of cancer detection, surveillance and therapy.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 140 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 %
United States 2 1%
Germany 2 1%
Netherlands 1 <1%
Japan 1 <1%
Australia 1 <1%
Unknown 133 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 21 15%
Researcher 19 14%
Student > Master 17 12%
Student > Bachelor 14 10%
Professor > Associate Professor 9 6%
Other 15 11%
Unknown 45 32%
Readers by discipline
Readers by discipline Count As %
Engineering 21 15%
Medicine and Dentistry 16 11%
Chemistry 15 11%
Agricultural and Biological Sciences 10 7%
Biochemistry, Genetics and Molecular Biology 8 6%
Other 24 17%
Unknown 46 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 153. 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 22 July 2025.
All research outputs
#339,492
of 34,447,360 outputs
Outputs from Nature Biomedical Engineering
#192
of 1,693 outputs
Outputs of similar age
#5,458
of 459,878 outputs
Outputs of similar age from Nature Biomedical Engineering
#6
of 25 outputs
Altmetric has tracked 34,447,360 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,693 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 75.0. This one has done well, scoring higher than 88% 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 459,878 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 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.