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CellSegm - a MATLAB toolbox for high-throughput 3D cell segmentation

Overview of attention for article published in Source Code for Biology and Medicine, August 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#28 of 122)
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

patent
1 patent
googleplus
2 Google+ users

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
245 Mendeley
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Title
CellSegm - a MATLAB toolbox for high-throughput 3D cell segmentation
Published in
Source Code for Biology and Medicine, August 2013
DOI 10.1186/1751-0473-8-16
Pubmed ID
Authors

Erlend Hodneland, Tanja Kögel, Dominik Michael Frei, Hans-Hermann Gerdes, Arvid Lundervold

Mendeley readers

The data shown below were compiled from readership statistics for 245 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 3 1%
France 3 1%
Finland 1 <1%
Kazakhstan 1 <1%
Sweden 1 <1%
Norway 1 <1%
Turkey 1 <1%
Singapore 1 <1%
Other 4 2%
Unknown 225 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 78 32%
Researcher 60 24%
Student > Master 28 11%
Student > Bachelor 21 9%
Student > Doctoral Student 16 7%
Other 28 11%
Unknown 14 6%
Readers by discipline Count As %
Engineering 64 26%
Agricultural and Biological Sciences 41 17%
Biochemistry, Genetics and Molecular Biology 34 14%
Computer Science 26 11%
Physics and Astronomy 25 10%
Other 32 13%
Unknown 23 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 23 February 2017.
All research outputs
#2,891,486
of 12,434,754 outputs
Outputs from Source Code for Biology and Medicine
#28
of 122 outputs
Outputs of similar age
#92,481
of 350,491 outputs
Outputs of similar age from Source Code for Biology and Medicine
#2
of 4 outputs
Altmetric has tracked 12,434,754 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 122 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 77% 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 350,491 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.