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SHERPA: an image segmentation and outline feature extraction tool for diatoms and other objects

Overview of attention for article published in BMC Bioinformatics, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
81 Mendeley
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1 CiteULike
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Title
SHERPA: an image segmentation and outline feature extraction tool for diatoms and other objects
Published in
BMC Bioinformatics, June 2014
DOI 10.1186/1471-2105-15-218
Pubmed ID
Authors

Michael Kloster, Gerhard Kauer, Bánk Beszteri

Abstract

Light microscopic analysis of diatom frustules is widely used both in basic and applied research, notably taxonomy, morphometrics, water quality monitoring and paleo-environmental studies. In these applications, usually large numbers of frustules need to be identified and/or measured. Although there is a need for automation in these applications, and image processing and analysis methods supporting these tasks have previously been developed, they did not become widespread in diatom analysis. While methodological reports for a wide variety of methods for image segmentation, diatom identification and feature extraction are available, no single implementation combining a subset of these into a readily applicable workflow accessible to diatomists exists.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 2%
Brazil 1 1%
United Kingdom 1 1%
Canada 1 1%
Spain 1 1%
Unknown 75 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 22%
Student > Ph. D. Student 13 16%
Student > Master 13 16%
Student > Bachelor 12 15%
Student > Postgraduate 4 5%
Other 6 7%
Unknown 15 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 32%
Earth and Planetary Sciences 14 17%
Engineering 9 11%
Computer Science 5 6%
Environmental Science 3 4%
Other 7 9%
Unknown 17 21%
Attention Score in Context

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 09 August 2018.
All research outputs
#6,940,770
of 22,757,541 outputs
Outputs from BMC Bioinformatics
#2,682
of 7,272 outputs
Outputs of similar age
#66,554
of 227,908 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 151 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,272 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% 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 227,908 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 69% of its contemporaries.
We're also able to compare this research output to 151 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 65% of its contemporaries.