↓ Skip to main content

A high-level 3D visualization API for Java and ImageJ

Overview of attention for article published in BMC Bioinformatics, May 2010
Altmetric Badge

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 (72nd percentile)

Mentioned by

patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
459 Dimensions

Readers on

mendeley
434 Mendeley
citeulike
5 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.
Title
A high-level 3D visualization API for Java and ImageJ
Published in
BMC Bioinformatics, May 2010
DOI 10.1186/1471-2105-11-274
Pubmed ID
Authors

Benjamin Schmid, Johannes Schindelin, Albert Cardona, Mark Longair, Martin Heisenberg

Abstract

Current imaging methods such as Magnetic Resonance Imaging (MRI), Confocal microscopy, Electron Microscopy (EM) or Selective Plane Illumination Microscopy (SPIM) yield three-dimensional (3D) data sets in need of appropriate computational methods for their analysis. The reconstruction, segmentation and registration are best approached from the 3D representation of the data set.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 434 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 10 2%
United States 7 2%
United Kingdom 3 <1%
Australia 3 <1%
Chile 2 <1%
Canada 2 <1%
France 2 <1%
Brazil 2 <1%
Norway 1 <1%
Other 12 3%
Unknown 390 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 121 28%
Researcher 111 26%
Student > Master 45 10%
Student > Doctoral Student 31 7%
Student > Bachelor 27 6%
Other 54 12%
Unknown 45 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 124 29%
Engineering 54 12%
Biochemistry, Genetics and Molecular Biology 35 8%
Computer Science 31 7%
Physics and Astronomy 29 7%
Other 97 22%
Unknown 64 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 December 2014.
All research outputs
#4,696,673
of 22,789,566 outputs
Outputs from BMC Bioinformatics
#1,810
of 7,280 outputs
Outputs of similar age
#19,559
of 94,328 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 74 outputs
Altmetric has tracked 22,789,566 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 7,280 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 73% 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 94,328 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 74 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 72% of its contemporaries.