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Characterization and engineering of a plastic-degrading aromatic polyesterase

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, April 2018
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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 (99th percentile)

Citations

dimensions_citation
764 Dimensions

Readers on

mendeley
2340 Mendeley
citeulike
2 CiteULike
Title
Characterization and engineering of a plastic-degrading aromatic polyesterase
Published in
Proceedings of the National Academy of Sciences of the United States of America, April 2018
DOI 10.1073/pnas.1718804115
Pubmed ID
Authors

Harry P Austin, Mark D Allen, Bryon S Donohoe, Nicholas A Rorrer, Fiona L Kearns, Rodrigo L Silveira, Benjamin C Pollard, Graham Dominick, Ramona Duman, Kamel El Omari, Vitaliy Mykhaylyk, Armin Wagner, William E Michener, Antonella Amore, Munir S Skaf, Michael F Crowley, Alan W Thorne, Christopher W Johnson, H Lee Woodcock, John E McGeehan, Gregg T Beckham

Timeline
X Demographics

X Demographics

The data shown below were collected from the profiles of 237 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2,340 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2340 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 421 18%
Student > Ph. D. Student 299 13%
Researcher 256 11%
Student > Master 246 11%
Other 69 3%
Other 272 12%
Unknown 777 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 553 24%
Agricultural and Biological Sciences 238 10%
Chemistry 199 9%
Engineering 112 5%
Chemical Engineering 95 4%
Other 296 13%
Unknown 847 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2174. 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 23 November 2023.
All research outputs
#4,249
of 26,745,262 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#133
of 105,469 outputs
Outputs of similar age
#51
of 344,514 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#5
of 1,003 outputs
Altmetric has tracked 26,745,262 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 105,469 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one has done particularly well, scoring higher than 99% 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 344,514 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 1,003 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 99% of its contemporaries.