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Collaborative decision support and documentation in chemical safety with KnowSEC

Overview of attention for article published in Journal of Cheminformatics, April 2016
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
13 Mendeley
citeulike
1 CiteULike
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Title
Collaborative decision support and documentation in chemical safety with KnowSEC
Published in
Journal of Cheminformatics, April 2016
DOI 10.1186/s13321-016-0132-8
Pubmed ID
Authors

Joachim Baumeister, Albrecht Striffler, Marc Brandt, Michael Neumann

Abstract

To protect the health of human and environment, the European Union implemented the REACH regulation for chemical substances. REACH is an acronym for Registration, Evaluation, Authorization, and Restriction of Chemicals. Under REACH, the authorities have the task of assessing chemical substances, especially those that might pose a risk to human health or environment. The work under REACH is scientifically, technically and procedurally a complex and knowledge-intensive task that is jointly performed by the European Chemicals Agency and member state authorities in Europe. The assessment of substances under REACH conducted in the German Environment Agency is supported by the knowledge-based system KnowSEC, which is used for the screening, documentation, and decision support when working on chemical substances. The software KnowSEC integrates advanced semantic technologies and strong problem solving methods. It allows for the collaborative work on substances in the context of the European REACH regulation. We discuss the applied methods and process models and we report on experiences with the implementation and use of the system.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 8%
Bulgaria 1 8%
Belgium 1 8%
Unknown 10 77%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Student > Ph. D. Student 3 23%
Researcher 3 23%
Librarian 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 4 31%
Agricultural and Biological Sciences 2 15%
Business, Management and Accounting 1 8%
Social Sciences 1 8%
Chemistry 1 8%
Other 1 8%
Unknown 3 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 April 2016.
All research outputs
#9,481,657
of 12,379,379 outputs
Outputs from Journal of Cheminformatics
#443
of 489 outputs
Outputs of similar age
#174,868
of 273,791 outputs
Outputs of similar age from Journal of Cheminformatics
#12
of 12 outputs
Altmetric has tracked 12,379,379 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 489 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 6th percentile – i.e., 6% 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 273,791 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.