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Utilising datasheets for the informed automated design and build of a synthetic metabolic pathway

Overview of attention for article published in Journal of Biological Engineering, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
61 Mendeley
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Title
Utilising datasheets for the informed automated design and build of a synthetic metabolic pathway
Published in
Journal of Biological Engineering, January 2019
DOI 10.1186/s13036-019-0141-z
Pubmed ID
Authors

Kealan Exley, Christopher Robert Reynolds, Lorna Suckling, Soo Mei Chee, Argyro Tsipa, Paul S. Freemont, David McClymont, Richard Ian Kitney

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 25%
Student > Ph. D. Student 12 20%
Student > Master 10 16%
Other 2 3%
Professor > Associate Professor 2 3%
Other 3 5%
Unknown 17 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 41%
Agricultural and Biological Sciences 8 13%
Engineering 4 7%
Chemistry 2 3%
Linguistics 1 2%
Other 1 2%
Unknown 20 33%
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 06 March 2019.
All research outputs
#4,351,802
of 23,577,654 outputs
Outputs from Journal of Biological Engineering
#65
of 276 outputs
Outputs of similar age
#97,961
of 440,328 outputs
Outputs of similar age from Journal of Biological Engineering
#5
of 15 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 276 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 76% 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 440,328 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 77% of its contemporaries.
We're also able to compare this research output to 15 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 66% of its contemporaries.