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A molecular fragment cheminformatics roadmap for mesoscopic simulation

Overview of attention for article published in Journal of Cheminformatics, October 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

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10 Dimensions

Readers on

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29 Mendeley
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3 CiteULike
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Title
A molecular fragment cheminformatics roadmap for mesoscopic simulation
Published in
Journal of Cheminformatics, October 2014
DOI 10.1186/s13321-014-0045-3
Pubmed ID
Authors

Andreas Truszkowski, Mirco Daniel, Hubert Kuhn, Stefan Neumann, Christoph Steinbeck, Achim Zielesny, Matthias Epple

Abstract

Mesoscopic simulation studies the structure, dynamics and properties of large molecular ensembles with millions of atoms: Its basic interacting units (beads) are no longer the nuclei and electrons of quantum chemical ab-initio calculations or the atom types of molecular mechanics but molecular fragments, molecules or even larger molecular entities. For its simulation setup and output a mesoscopic simulation kernel software uses abstract matrix (array) representations for bead topology and connectivity. Therefore a pure kernel-based mesoscopic simulation task is a tedious, time-consuming and error-prone venture that limits its practical use and application. A consequent cheminformatics approach tackles these problems and provides solutions for a considerably enhanced accessibility. This study aims at outlining a complete cheminformatics roadmap that frames a mesoscopic Molecular Fragment Dynamics (MFD) simulation kernel to allow its efficient use and practical application.

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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Germany 1 3%
South Africa 1 3%
Unknown 26 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 34%
Student > Bachelor 4 14%
Student > Ph. D. Student 4 14%
Student > Master 3 10%
Professor 2 7%
Other 2 7%
Unknown 4 14%
Readers by discipline Count As %
Chemistry 7 24%
Agricultural and Biological Sciences 6 21%
Medicine and Dentistry 4 14%
Engineering 3 10%
Computer Science 1 3%
Other 3 10%
Unknown 5 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 December 2014.
All research outputs
#13,180,774
of 22,765,347 outputs
Outputs from Journal of Cheminformatics
#640
of 828 outputs
Outputs of similar age
#118,269
of 254,034 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 7 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 254,034 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 52% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.