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Significantly improved precision of cell migration analysis in time-lapse video microscopy through use of a fully automated tracking system

Overview of attention for article published in BMC Cell Biology, April 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 311)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
3 blogs
patent
3 patents

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
152 Mendeley
citeulike
2 CiteULike
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Title
Significantly improved precision of cell migration analysis in time-lapse video microscopy through use of a fully automated tracking system
Published in
BMC Cell Biology, April 2010
DOI 10.1186/1471-2121-11-24
Pubmed ID
Authors

Johannes Huth, Malte Buchholz, Johann M Kraus, Martin Schmucker, Götz von Wichert, Denis Krndija, Thomas Seufferlein, Thomas M Gress, Hans A Kestler

Abstract

Cell motility is a critical parameter in many physiological as well as pathophysiological processes. In time-lapse video microscopy, manual cell tracking remains the most common method of analyzing migratory behavior of cell populations. In addition to being labor-intensive, this method is susceptible to user-dependent errors regarding the selection of "representative" subsets of cells and manual determination of precise cell positions.

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
United States 3 2%
France 2 1%
Italy 1 <1%
Netherlands 1 <1%
Greece 1 <1%
Spain 1 <1%
Unknown 140 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 30%
Researcher 37 24%
Student > Master 17 11%
Professor > Associate Professor 11 7%
Student > Bachelor 8 5%
Other 21 14%
Unknown 13 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 30%
Computer Science 18 12%
Biochemistry, Genetics and Molecular Biology 16 11%
Engineering 16 11%
Physics and Astronomy 15 10%
Other 24 16%
Unknown 17 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 18 January 2022.
All research outputs
#1,516,078
of 20,832,782 outputs
Outputs from BMC Cell Biology
#3
of 311 outputs
Outputs of similar age
#17,544
of 286,236 outputs
Outputs of similar age from BMC Cell Biology
#1
of 20 outputs
Altmetric has tracked 20,832,782 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 311 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 particularly well, scoring higher than 99% 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 286,236 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 93% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.