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Evolution of BRET Biosensors from Live Cell to Tissue-Scale In vivo Imaging

Overview of attention for article published in Frontiers in endocrinology, January 2013
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Title
Evolution of BRET Biosensors from Live Cell to Tissue-Scale In vivo Imaging
Published in
Frontiers in endocrinology, January 2013
DOI 10.3389/fendo.2013.00131
Pubmed ID
Authors

Abhijit De, Akshi Jasani, Rohit Arora, Sanjiv S. Gambhir

Abstract

Development of bioluminescence resonance energy transfer (BRET) based genetic sensors for sensing biological functions such as protein-protein interactions (PPIs) in vivo has a special value in measuring such dynamic events at their native environment. Since its inception in the late nineties, BRET related research has gained significant momentum in terms of adding versatility to the assay format and wider applicability where it has been suitably used. Beyond the scope of quantitative measurement of PPIs and protein dimerization, molecular imaging applications based on BRET assays have broadened its scope for screening pharmacologically important compounds by in vivo imaging as well. In this mini-review we focus on an in-depth analysis of engineered BRET systems developed and their successful application to cell-based assays as well as in vivo non-invasive imaging in live subjects.

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Germany 1 1%
Indonesia 1 1%
Brazil 1 1%
United States 1 1%
Unknown 87 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 30%
Researcher 14 15%
Other 7 8%
Professor > Associate Professor 7 8%
Student > Bachelor 5 5%
Other 19 21%
Unknown 12 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 28%
Biochemistry, Genetics and Molecular Biology 19 21%
Chemistry 8 9%
Pharmacology, Toxicology and Pharmaceutical Science 6 7%
Engineering 6 7%
Other 10 11%
Unknown 17 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 April 2020.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Frontiers in endocrinology
#6,734
of 13,012 outputs
Outputs of similar age
#228,822
of 289,007 outputs
Outputs of similar age from Frontiers in endocrinology
#114
of 210 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,012 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 289,007 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.