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eCAT: Online electronic lab notebook for scientific research

Overview of attention for article published in Automated Experimentation, October 2009
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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 (80th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
56 Mendeley
citeulike
6 CiteULike
connotea
2 Connotea
Title
eCAT: Online electronic lab notebook for scientific research
Published in
Automated Experimentation, October 2009
DOI 10.1186/1759-4499-1-4
Pubmed ID
Authors

Nigel H Goddard, Rory Macneil, Jonathan Ritchie

Abstract

eCAT is an electronic lab notebook (ELN) developed by Axiope Limited. It is the first online ELN, the first ELN to be developed in close collaboration with lab scientists, and the first ELN to be targeted at researchers in non-commercial institutions. eCAT was developed in response to feedback from users of a predecessor product. By late 2006 the basic concept had been clarified: a highly scalable web-based collaboration tool that possessed the basic capabilities of commercial ELNs, i.e. a permissions system, controlled sharing, an audit trail, electronic signature and search, and a front end that looked like the electronic counterpart to a paper notebook.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 7%
United Kingdom 4 7%
France 3 5%
Germany 2 4%
Cuba 1 2%
Sweden 1 2%
Colombia 1 2%
Netherlands 1 2%
India 1 2%
Other 2 4%
Unknown 36 64%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 43%
Other 5 9%
Librarian 4 7%
Professor > Associate Professor 4 7%
Student > Bachelor 3 5%
Other 12 21%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 43%
Computer Science 10 18%
Medicine and Dentistry 4 7%
Mathematics 3 5%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 7 13%
Unknown 6 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 29 October 2009.
All research outputs
#5,397,899
of 25,371,288 outputs
Outputs from Automated Experimentation
#3
of 6 outputs
Outputs of similar age
#21,269
of 107,977 outputs
Outputs of similar age from Automated Experimentation
#2
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one scored the same or higher as 3 of them.
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 107,977 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 80% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.