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Creating functional engineered variants of the single-module non-ribosomal peptide synthetase IndC by T domain exchange

Overview of attention for article published in Molecular BioSystems, January 2014
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
6 X users
patent
1 patent

Readers on

mendeley
98 Mendeley
citeulike
2 CiteULike
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Article details
Title
Creating functional engineered variants of the single-module non-ribosomal peptide synthetase IndC by T domain exchange
Published in
Molecular BioSystems, January 2014
DOI 10.1039/c3mb70594c
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Germany 2 2%
United States 1 1%
United Kingdom 1 1%
Denmark 1 1%
Brazil 1 1%
Unknown 92 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 19 19%
Researcher 19 19%
Student > Bachelor 18 18%
Student > Master 15 15%
Student > Postgraduate 5 5%
Other 10 10%
Unknown 12 12%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 42 43%
Biochemistry, Genetics and Molecular Biology 27 28%
Chemistry 10 10%
Engineering 2 2%
Nursing and Health Professions 1 1%
Other 4 4%
Unknown 12 12%
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 22 February 2024.
All research outputs
#5,785,445
of 30,038,132 outputs
Outputs from Molecular BioSystems
#200
of 1,478 outputs
Outputs of similar age
#57,207
of 336,897 outputs
Outputs of similar age from Molecular BioSystems
#11
of 133 outputs
Altmetric has tracked 30,038,132 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,478 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 84% 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 336,897 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 81% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.