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Ami - The chemist's amanuensis

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 (83rd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
28 Mendeley
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1 CiteULike
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Title
Ami - The chemist's amanuensis
Published in
Journal of Cheminformatics, October 2011
DOI 10.1186/1758-2946-3-45
Pubmed ID
Authors

Brian J Brooks, Adam L Thorn, Matthew Smith, Peter Matthews, Shaoming Chen, Ben O'Steen, Sam E Adams, Joe A Townsend, Peter Murray-Rust

Abstract

The Ami project was a six month Rapid Innovation project sponsored by JISC to explore the Virtual Research Environment space. The project brainstormed with chemists and decided to investigate ways to facilitate monitoring and collection of experimental data.A frequently encountered use-case was identified of how the chemist reaches the end of an experiment, but finds an unexpected result. The ability to replay events can significantly help make sense of how things progressed. The project therefore concentrated on collecting a variety of dimensions of ancillary data - data that would not normally be collected due to practicality constraints. There were three main areas of investigation: 1) Development of a monitoring tool using infrared and ultrasonic sensors; 2) Time-lapse motion video capture (for example, videoing 5 seconds in every 60); and 3) Activity-driven video monitoring of the fume cupboard environs.The Ami client application was developed to control these separate logging functions. The application builds up a timeline of the events in the experiment and around the fume cupboard. The videos and data logs can then be reviewed after the experiment in order to help the chemist determine the exact timings and conditions used.The project experimented with ways in which a Microsoft Kinect could be used in a laboratory setting. Investigations suggest that it would not be an ideal device for controlling a mouse, but it shows promise for usages such as manipulating virtual molecules.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
United States 1 4%
Czechia 1 4%
Kenya 1 4%
Unknown 24 86%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 25%
Other 5 18%
Student > Bachelor 4 14%
Student > Ph. D. Student 3 11%
Researcher 3 11%
Other 4 14%
Unknown 2 7%
Readers by discipline Count As %
Chemistry 7 25%
Agricultural and Biological Sciences 4 14%
Computer Science 3 11%
Engineering 2 7%
Medicine and Dentistry 2 7%
Other 6 21%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 November 2011.
All research outputs
#3,900,834
of 22,653,392 outputs
Outputs from Journal of Cheminformatics
#382
of 825 outputs
Outputs of similar age
#22,538
of 136,361 outputs
Outputs of similar age from Journal of Cheminformatics
#18
of 21 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% 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 gotten more attention than average, scoring higher than 53% 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 well, scoring higher than 83% 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 is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.