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BALLView: An object-oriented molecular visualization and modeling framework

Overview of attention for article published in Perspectives in Drug Discovery and Design, February 2006
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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 (80th percentile)

Mentioned by

patent
3 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
1 CiteULike
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Title
BALLView: An object-oriented molecular visualization and modeling framework
Published in
Perspectives in Drug Discovery and Design, February 2006
DOI 10.1007/s10822-005-9027-x
Pubmed ID
Authors

Andreas Moll, Andreas Hildebrandt, Hans-Peter Lenhof, Oliver Kohlbacher

Abstract

We present BALLView, an extensible tool for visualizing and modeling bio-molecular structures. It provides a variety of different models for bio-molecular visualization, e.g. ball-and-stick models, molecular surfaces, or ribbon models. In contrast to most existing visualization tools, BALLView also offers rich functionality for molecular modeling and simulation, including molecular mechanics methods (AMBER and CHARMM force fields), continuum electrostatics methods employing a Finite-Difference Poisson Boltzmann solver, and secondary structure calculation. Results of these computations can be exported as publication quality images or as movies. Even unexperienced users have direct access to this functionality through an intuitive graphical user interface, which makes BALLView particularly useful for teaching. For more advanced users, BALLView is extensible in different ways. Owing to its framework design, extension on the level of C per thousand+ per thousand per thousand+ code is very convenient. In addition, an interface to the scripting language Python allows the interactive rapid prototyping of new methods. BALLView is portable and runs on all major platforms (Windows, MacOS X, Linux, most Unix flavors). It is available free of charge under the GNU Public License (GPL) from our website http://www.ballview.org.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Germany 2 3%
Australia 2 3%
Luxembourg 1 2%
Unknown 58 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 20%
Student > Ph. D. Student 10 15%
Student > Bachelor 7 11%
Student > Master 5 8%
Professor 4 6%
Other 18 28%
Unknown 8 12%
Readers by discipline Count As %
Computer Science 16 25%
Agricultural and Biological Sciences 14 22%
Chemistry 8 12%
Biochemistry, Genetics and Molecular Biology 6 9%
Engineering 2 3%
Other 10 15%
Unknown 9 14%
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 03 January 2023.
All research outputs
#5,471,255
of 25,457,297 outputs
Outputs from Perspectives in Drug Discovery and Design
#249
of 949 outputs
Outputs of similar age
#22,182
of 174,090 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#1
of 2 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 949 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 gotten more attention than average, scoring higher than 67% 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 174,090 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them