↓ Skip to main content

Amplitude Distribution of Calcium Sparks in Confocal Images: Theory and Studies with an Automatic Detection Method

Overview of attention for article published in Biophysical Journal, February 1999
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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

patent
16 patents
wikipedia
1 Wikipedia page

Readers on

mendeley
114 Mendeley
citeulike
2 CiteULike
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.
Article details
Title
Amplitude Distribution of Calcium Sparks in Confocal Images: Theory and Studies with an Automatic Detection Method
Published in
Biophysical Journal, February 1999
DOI 10.1016/s0006-3495(99)77229-2
Pubmed ID
Authors
Abstract

Determination of the calcium spark amplitude distribution is of critical importance for understanding the nature of elementary calcium release events in striated muscle. In the present study we show, on general theoretical grounds, that calcium sparks, as observed in confocal line scan images, should have a nonmodal, monotonic decreasing amplitude distribution, regardless of whether the underlying events are stereotyped. To test this prediction we developed, implemented, and verified an automated computer algorithm for objective detection and measurement of calcium sparks in raw image data. When the sensitivity and reliability of the algorithm were set appropriately, we observed highly left-skewed or monotonic decreasing amplitude distributions in skeletal muscle cells and cardiomyocytes, confirming the theoretical predictions. The previously reported modal or Gaussian distributions of sparks detected by eye must therefore be the result of subjective detection bias against small amplitude events. In addition, we discuss possible situations when a modal distribution might be observed.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 3%
Spain 3 3%
Germany 1 <1%
Switzerland 1 <1%
Unknown 106 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 29 25%
Researcher 23 20%
Professor 17 15%
Student > Master 7 6%
Professor > Associate Professor 7 6%
Other 16 14%
Unknown 15 13%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 28 25%
Biochemistry, Genetics and Molecular Biology 23 20%
Medicine and Dentistry 19 17%
Neuroscience 6 5%
Engineering 5 4%
Other 13 11%
Unknown 20 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 04 October 2016.
All research outputs
#4,597,585
of 30,679,167 outputs
Outputs from Biophysical Journal
#1,031
of 11,188 outputs
Outputs of similar age
#7,574
of 121,621 outputs
Outputs of similar age from Biophysical Journal
#5
of 52 outputs
Altmetric has tracked 30,679,167 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,188 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 121,621 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 90% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.