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The Quixote project: Collaborative and Open Quantum Chemistry data management in the Internet age

Overview of attention for article published in Journal of Cheminformatics, October 2011
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
2 blogs
twitter
5 X users

Citations

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44 Dimensions

Readers on

mendeley
104 Mendeley
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4 CiteULike
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Title
The Quixote project: Collaborative and Open Quantum Chemistry data management in the Internet age
Published in
Journal of Cheminformatics, October 2011
DOI 10.1186/1758-2946-3-38
Pubmed ID
Authors

Sam Adams, Pablo de Castro, Pablo Echenique, Jorge Estrada, Marcus D Hanwell, Peter Murray-Rust, Paul Sherwood, Jens Thomas, Joe Townsend

Abstract

Computational Quantum Chemistry has developed into a powerful, efficient, reliable and increasingly routine tool for exploring the structure and properties of small to medium sized molecules. Many thousands of calculations are performed every day, some offering results which approach experimental accuracy. However, in contrast to other disciplines, such as crystallography, or bioinformatics, where standard formats and well-known, unified databases exist, this QC data is generally destined to remain locally held in files which are not designed to be machine-readable. Only a very small subset of these results will become accessible to the wider community through publication.In this paper we describe how the Quixote Project is developing the infrastructure required to convert output from a number of different molecular quantum chemistry packages to a common semantically rich, machine-readable format and to build respositories of QC results. Such an infrastructure offers benefits at many levels. The standardised representation of the results will facilitate software interoperability, for example making it easier for analysis tools to take data from different QC packages, and will also help with archival and deposition of results. The repository infrastructure, which is lightweight and built using Open software components, can be implemented at individual researcher, project, organisation or community level, offering the exciting possibility that in future many of these QC results can be made publically available, to be searched and interpreted just as crystallography and bioinformatics results are today.Although we believe that quantum chemists will appreciate the contribution the Quixote infrastructure can make to the organisation and and exchange of their results, we anticipate that greater rewards will come from enabling their results to be consumed by a wider community. As the respositories grow they will become a valuable source of chemical data for use by other disciplines in both research and education.The Quixote project is unconventional in that the infrastructure is being implemented in advance of a full definition of the data model which will eventually underpin it. We believe that a working system which offers real value to researchers based on tools and shared, searchable repositories will encourage early participation from a broader community, including both producers and consumers of data. In the early stages, searching and indexing can be performed on the chemical subject of the calculations, and well defined calculation meta-data. The process of defining more specific quantum chemical definitions, adding them to dictionaries and extracting them consistently from the results of the various software packages can then proceed in an incremental manner, adding additional value at each stage.Not only will these results help to change the data management model in the field of Quantum Chemistry, but the methodology can be applied to other pressing problems related to data in computational and experimental science.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
Spain 2 2%
Italy 1 <1%
Czechia 1 <1%
Bulgaria 1 <1%
Canada 1 <1%
Hungary 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Other 0 0%
Unknown 90 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 26%
Researcher 14 13%
Student > Master 9 9%
Student > Bachelor 9 9%
Professor 8 8%
Other 27 26%
Unknown 10 10%
Readers by discipline Count As %
Chemistry 38 37%
Computer Science 13 13%
Engineering 7 7%
Physics and Astronomy 7 7%
Materials Science 4 4%
Other 17 16%
Unknown 18 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 14 May 2012.
All research outputs
#1,810,848
of 22,653,392 outputs
Outputs from Journal of Cheminformatics
#168
of 825 outputs
Outputs of similar age
#9,257
of 136,361 outputs
Outputs of similar age from Journal of Cheminformatics
#7
of 21 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 825 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 79% 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 136,361 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 21 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 66% of its contemporaries.