↓ Skip to main content

jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints

Overview of attention for article published in Journal of Cheminformatics, January 2011
Altmetric Badge

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
115 Mendeley
citeulike
4 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
jCompoundMapper: An open source Java library and command-line tool for chemical fingerprints
Published in
Journal of Cheminformatics, January 2011
DOI 10.1186/1758-2946-3-3
Pubmed ID
Authors

Georg Hinselmann, Lars Rosenbaum, Andreas Jahn, Nikolas Fechner, Andreas Zell

Abstract

The decomposition of a chemical graph is a convenient approach to encode information of the corresponding organic compound. While several commercial toolkits exist to encode molecules as so-called fingerprints, only a few open source implementations are available. The aim of this work is to introduce a library for exactly defined molecular decompositions, with a strong focus on the application of these features in machine learning and data mining. It provides several options such as search depth, distance cut-offs, atom- and pharmacophore typing. Furthermore, it provides the functionality to combine, to compare, or to export the fingerprints into several formats.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 3%
United Kingdom 2 2%
Spain 2 2%
United States 2 2%
India 1 <1%
Russia 1 <1%
Bulgaria 1 <1%
Japan 1 <1%
China 1 <1%
Other 0 0%
Unknown 100 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 26%
Student > Ph. D. Student 23 20%
Student > Master 12 10%
Student > Bachelor 9 8%
Other 7 6%
Other 21 18%
Unknown 13 11%
Readers by discipline Count As %
Chemistry 31 27%
Computer Science 23 20%
Agricultural and Biological Sciences 18 16%
Biochemistry, Genetics and Molecular Biology 7 6%
Engineering 7 6%
Other 14 12%
Unknown 15 13%