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Fusion weighted features and BiLSTM-attention model for argument mining of EFL writing

Overview of attention for article published in Frontiers in Psychology, January 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
12 Mendeley
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Title
Fusion weighted features and BiLSTM-attention model for argument mining of EFL writing
Published in
Frontiers in Psychology, January 2023
DOI 10.3389/fpsyg.2023.1049266
Pubmed ID
Authors

Jincai Yang, Meng Zheng, Yingliang Liu

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.
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Unspecified 1 8%
Student > Master 1 8%
Unknown 8 67%
Readers by discipline Count As %
Unspecified 1 8%
Linguistics 1 8%
Engineering 1 8%
Unknown 9 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 February 2023.
All research outputs
#18,820,431
of 23,323,574 outputs
Outputs from Frontiers in Psychology
#22,928
of 31,015 outputs
Outputs of similar age
#266,242
of 396,887 outputs
Outputs of similar age from Frontiers in Psychology
#735
of 1,532 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,015 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 19th percentile – i.e., 19% 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 396,887 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,532 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.