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Open chemistry: RESTful web APIs, JSON, NWChem and the modern web application

Overview of attention for article published in Journal of Cheminformatics, October 2017
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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 (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
14 X users
patent
1 patent

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
83 Mendeley
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Title
Open chemistry: RESTful web APIs, JSON, NWChem and the modern web application
Published in
Journal of Cheminformatics, October 2017
DOI 10.1186/s13321-017-0241-z
Pubmed ID
Authors

Marcus D. Hanwell, Wibe A. de Jong, Christopher J. Harris

Abstract

An end-to-end platform for chemical science research has been developed that integrates data from computational and experimental approaches through a modern web-based interface. The platform offers an interactive visualization and analytics environment that functions well on mobile, laptop and desktop devices. It offers pragmatic solutions to ensure that large and complex data sets are more accessible. Existing desktop applications/frameworks were extended to integrate with high-performance computing resources, and offer command-line tools to automate interaction-connecting distributed teams to this software platform on their own terms. The platform was developed openly, and all source code hosted on the GitHub platform with automated deployment possible using Ansible coupled with standard Ubuntu-based machine images deployed to cloud machines. The platform is designed to enable teams to reap the benefits of the connected web-going beyond what conventional search and analytics platforms offer in this area. It also has the goal of offering federated instances, that can be customized to the sites/research performed. Data gets stored using JSON, extending upon previous approaches using XML, building structures that support computational chemistry calculations. These structures were developed to make it easy to process data across different languages, and send data to a JavaScript-based web client.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 22%
Student > Master 10 12%
Student > Ph. D. Student 7 8%
Student > Bachelor 7 8%
Professor > Associate Professor 5 6%
Other 12 14%
Unknown 24 29%
Readers by discipline Count As %
Chemistry 15 18%
Computer Science 14 17%
Agricultural and Biological Sciences 5 6%
Materials Science 3 4%
Engineering 3 4%
Other 17 20%
Unknown 26 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 19 January 2023.
All research outputs
#2,922,545
of 25,197,939 outputs
Outputs from Journal of Cheminformatics
#260
of 950 outputs
Outputs of similar age
#53,073
of 335,518 outputs
Outputs of similar age from Journal of Cheminformatics
#6
of 14 outputs
Altmetric has tracked 25,197,939 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 950 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 72% 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 335,518 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 14 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 64% of its contemporaries.