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Protein biosensors based on the principle of fluorescence resonance energy transfer for monitoring cellular dynamics

Overview of attention for article published in Biotechnology Techniques, October 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

patent
12 patents

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
174 Mendeley
citeulike
2 CiteULike
Title
Protein biosensors based on the principle of fluorescence resonance energy transfer for monitoring cellular dynamics
Published in
Biotechnology Techniques, October 2006
DOI 10.1007/s10529-006-9193-5
Pubmed ID
Authors

Isaac T. Li, Elizabeth Pham, Kevin Truong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 7 4%
United States 2 1%
Australia 2 1%
France 1 <1%
Portugal 1 <1%
Hungary 1 <1%
United Kingdom 1 <1%
India 1 <1%
Belgium 1 <1%
Other 1 <1%
Unknown 156 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 19%
Student > Master 33 19%
Student > Ph. D. Student 32 18%
Professor 15 9%
Student > Bachelor 13 7%
Other 30 17%
Unknown 18 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 39%
Biochemistry, Genetics and Molecular Biology 31 18%
Chemistry 18 10%
Physics and Astronomy 9 5%
Medicine and Dentistry 6 3%
Other 20 11%
Unknown 23 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 June 2019.
All research outputs
#5,447,195
of 25,374,917 outputs
Outputs from Biotechnology Techniques
#264
of 2,762 outputs
Outputs of similar age
#15,482
of 87,259 outputs
Outputs of similar age from Biotechnology Techniques
#4
of 21 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,762 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 74% 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 87,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.