↓ Skip to main content

Engineering of a Genetically Encodable Fluorescent Voltage Sensor Exploiting Fast Ci-VSP Voltage-Sensing Movements

Overview of attention for article published in PLOS ONE, June 2008
Altmetric Badge

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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

blogs
1 blog
patent
10 patents

Citations

dimensions_citation
144 Dimensions

Readers on

mendeley
188 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
Engineering of a Genetically Encodable Fluorescent Voltage Sensor Exploiting Fast Ci-VSP Voltage-Sensing Movements
Published in
PLOS ONE, June 2008
DOI 10.1371/journal.pone.0002514
Pubmed ID
Authors

Alicia Lundby, Hiroki Mutoh, Dimitar Dimitrov, Walther Akemann, Thomas Knöpfel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 4%
Spain 2 1%
Switzerland 2 1%
United Kingdom 2 1%
Colombia 1 <1%
Ireland 1 <1%
Australia 1 <1%
France 1 <1%
Hungary 1 <1%
Other 7 4%
Unknown 162 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 35%
Researcher 35 19%
Professor 14 7%
Student > Bachelor 14 7%
Professor > Associate Professor 13 7%
Other 26 14%
Unknown 21 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 93 49%
Biochemistry, Genetics and Molecular Biology 19 10%
Neuroscience 16 9%
Engineering 12 6%
Medicine and Dentistry 7 4%
Other 17 9%
Unknown 24 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 13 October 2020.
All research outputs
#2,956,481
of 22,986,950 outputs
Outputs from PLOS ONE
#39,371
of 195,961 outputs
Outputs of similar age
#8,665
of 82,676 outputs
Outputs of similar age from PLOS ONE
#119
of 460 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 195,961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 79% 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 82,676 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 89% of its contemporaries.
We're also able to compare this research output to 460 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 74% of its contemporaries.