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Quantitative fluorescence loss in photobleaching for analysis of protein transport and aggregation

Overview of attention for article published in BMC Bioinformatics, January 2012
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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 (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
2 tweeters
wikipedia
2 Wikipedia pages

Citations

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25 Dimensions

Readers on

mendeley
88 Mendeley
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Title
Quantitative fluorescence loss in photobleaching for analysis of protein transport and aggregation
Published in
BMC Bioinformatics, January 2012
DOI 10.1186/1471-2105-13-296
Pubmed ID
Authors

Daniel Wüstner, Lukasz M Solanko, Frederik W Lund, Daniel Sage, Hans J Schroll, Michael A Lomholt

Abstract

Fluorescence loss in photobleaching (FLIP) is a widely used imaging technique, which provides information about protein dynamics in various cellular regions. In FLIP, a small cellular region is repeatedly illuminated by an intense laser pulse, while images are taken with reduced laser power with a time lag between the bleaches. Despite its popularity, tools are lacking for quantitative analysis of FLIP experiments. Typically, the user defines regions of interest (ROIs) for further analysis which is subjective and does not allow for comparing different cells and experimental settings.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
France 1 1%
Switzerland 1 1%
United Kingdom 1 1%
Spain 1 1%
United States 1 1%
Unknown 81 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 38%
Researcher 18 20%
Student > Master 14 16%
Student > Bachelor 6 7%
Student > Doctoral Student 3 3%
Other 8 9%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 31%
Physics and Astronomy 14 16%
Biochemistry, Genetics and Molecular Biology 14 16%
Engineering 6 7%
Chemistry 6 7%
Other 12 14%
Unknown 9 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 June 2017.
All research outputs
#2,732,048
of 11,298,449 outputs
Outputs from BMC Bioinformatics
#1,293
of 4,195 outputs
Outputs of similar age
#77,685
of 307,692 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 116 outputs
Altmetric has tracked 11,298,449 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 4,195 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 68% 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 307,692 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 73% of its contemporaries.
We're also able to compare this research output to 116 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 67% of its contemporaries.