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De Novo Designed Proteins from a Library of Artificial Sequences Function in Escherichia Coli and Enable Cell Growth

Overview of attention for article published in PLOS ONE, January 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Citations

dimensions_citation
96 Dimensions

Readers on

mendeley
360 Mendeley
citeulike
11 CiteULike
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Title
De Novo Designed Proteins from a Library of Artificial Sequences Function in Escherichia Coli and Enable Cell Growth
Published in
PLOS ONE, January 2011
DOI 10.1371/journal.pone.0015364
Pubmed ID
Authors

Michael A. Fisher, Kara L. McKinley, Luke H. Bradley, Sara R. Viola, Michael H. Hecht

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 360 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 19 5%
United Kingdom 5 1%
Mexico 3 <1%
Netherlands 2 <1%
Israel 2 <1%
Germany 2 <1%
Spain 2 <1%
Japan 2 <1%
Belgium 1 <1%
Other 2 <1%
Unknown 320 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 95 26%
Researcher 73 20%
Student > Bachelor 55 15%
Student > Master 47 13%
Professor > Associate Professor 14 4%
Other 48 13%
Unknown 28 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 155 43%
Biochemistry, Genetics and Molecular Biology 81 23%
Chemistry 42 12%
Engineering 11 3%
Physics and Astronomy 9 3%
Other 31 9%
Unknown 31 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 92. 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 09 May 2023.
All research outputs
#451,616
of 25,144,989 outputs
Outputs from PLOS ONE
#6,323
of 218,026 outputs
Outputs of similar age
#1,885
of 193,540 outputs
Outputs of similar age from PLOS ONE
#28
of 1,173 outputs
Altmetric has tracked 25,144,989 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 218,026 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 particularly well, scoring higher than 97% 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 193,540 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 99% of its contemporaries.
We're also able to compare this research output to 1,173 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 97% of its contemporaries.