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Natural language processing approach to model the secretion signal of type III effectors

Overview of attention for article published in Frontiers in Plant Science, October 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Natural language processing approach to model the secretion signal of type III effectors
Published in
Frontiers in Plant Science, October 2022
DOI 10.3389/fpls.2022.1024405
Pubmed ID
Authors

Naama Wagner, Michael Alburquerque, Noa Ecker, Edo Dotan, Ben Zerah, Michelle Mendonca Pena, Neha Potnis, Tal Pupko

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Student > Bachelor 1 9%
Unknown 8 73%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 27%
Computer Science 2 18%
Unknown 6 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 November 2022.
All research outputs
#7,739,218
of 23,784,266 outputs
Outputs from Frontiers in Plant Science
#4,958
of 21,857 outputs
Outputs of similar age
#144,534
of 447,144 outputs
Outputs of similar age from Frontiers in Plant Science
#192
of 1,559 outputs
Altmetric has tracked 23,784,266 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 21,857 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 77% 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 447,144 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 1,559 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.