↓ Skip to main content

Improving Lambda Red Genome Engineering in Escherichia coli via Rational Removal of Endogenous Nucleases

Overview of attention for article published in PLOS ONE, September 2012
Altmetric Badge

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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users
patent
1 patent

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
226 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Improving Lambda Red Genome Engineering in Escherichia coli via Rational Removal of Endogenous Nucleases
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044638
Pubmed ID
Authors

Joshua A. Mosberg, Christopher J. Gregg, Marc J. Lajoie, Harris H. Wang, George M. Church

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Germany 1 <1%
Australia 1 <1%
Sweden 1 <1%
Switzerland 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Slovenia 1 <1%
United Kingdom 1 <1%
Other 4 2%
Unknown 210 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 26%
Researcher 55 24%
Student > Master 27 12%
Student > Bachelor 25 11%
Student > Doctoral Student 9 4%
Other 24 11%
Unknown 27 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 108 48%
Biochemistry, Genetics and Molecular Biology 46 20%
Engineering 12 5%
Immunology and Microbiology 7 3%
Chemical Engineering 6 3%
Other 17 8%
Unknown 30 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 26 February 2023.
All research outputs
#2,720,793
of 25,368,786 outputs
Outputs from PLOS ONE
#33,370
of 220,831 outputs
Outputs of similar age
#18,464
of 186,978 outputs
Outputs of similar age from PLOS ONE
#560
of 4,389 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 220,831 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. 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 186,978 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 4,389 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.