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Local Interpretations for Explainable Natural Language Processing: A Survey

Overview of attention for article published in ACM Computing Surveys, March 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
38 Mendeley
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Title
Local Interpretations for Explainable Natural Language Processing: A Survey
Published in
ACM Computing Surveys, March 2024
DOI 10.1145/3649450
Authors

Siwen Luo, Hamish Ivison, Soyeon Caren Han, Josiah Poon

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 34%
Student > Master 4 11%
Researcher 4 11%
Professor > Associate Professor 2 5%
Professor 1 3%
Other 2 5%
Unknown 12 32%
Readers by discipline Count As %
Computer Science 20 53%
Engineering 2 5%
Physics and Astronomy 2 5%
Unspecified 1 3%
Unknown 13 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 October 2022.
All research outputs
#16,839,069
of 25,540,105 outputs
Outputs from ACM Computing Surveys
#1,166
of 1,405 outputs
Outputs of similar age
#88,160
of 184,913 outputs
Outputs of similar age from ACM Computing Surveys
#3
of 8 outputs
Altmetric has tracked 25,540,105 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,405 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 184,913 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.