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A possible extension to the RInChI as a means of providing machine readable process data

Overview of attention for article published in Journal of Cheminformatics, April 2017
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  • Good Attention Score compared to outputs of the same age (66th percentile)

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8 X users

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Title
A possible extension to the RInChI as a means of providing machine readable process data
Published in
Journal of Cheminformatics, April 2017
DOI 10.1186/s13321-017-0210-6
Pubmed ID
Authors

Philipp-Maximilian Jacob, Tian Lan, Jonathan M. Goodman, Alexei A. Lapkin

Abstract

The algorithmic, large-scale use and analysis of reaction databases such as Reaxys is currently hindered by the absence of widely adopted standards for publishing reaction data in machine readable formats. Crucial data such as yields of all products or stoichiometry are frequently not explicitly stated in the published papers and, hence, not reported in the database entry for those reactions, limiting their usefulness for algorithmic analysis. This paper presents a possible extension to the IUPAC RInChI standard via an auxiliary layer, termed ProcAuxInfo, which is a standardised, extensible form in which to report certain key reaction parameters such as declaration of all products and reactants as well as auxiliaries known in the reaction, reaction stoichiometry, amounts of substances used, conversion, yield and operating conditions. The standard is demonstrated via creation of the RInChI including the ProcAuxInfo layer based on three published reactions and demonstrates accurate data recoverability via reverse translation of the created strings. Implementation of this or another method of reporting process data by the publishing community would ensure that databases, such as Reaxys, would be able to abstract crucial data for big data analysis of their contents.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 27%
Student > Ph. D. Student 6 20%
Student > Bachelor 2 7%
Professor 2 7%
Student > Doctoral Student 2 7%
Other 5 17%
Unknown 5 17%
Readers by discipline Count As %
Chemistry 11 37%
Chemical Engineering 5 17%
Computer Science 3 10%
Engineering 2 7%
Agricultural and Biological Sciences 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 5. 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 16 June 2017.
All research outputs
#7,029,822
of 25,079,131 outputs
Outputs from Journal of Cheminformatics
#547
of 942 outputs
Outputs of similar age
#104,234
of 315,838 outputs
Outputs of similar age from Journal of Cheminformatics
#18
of 20 outputs
Altmetric has tracked 25,079,131 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 942 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 40th percentile – i.e., 40% 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 315,838 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 66% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.