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Annotating Predicate-Argument Relations and Anaphoric Relations: Findings from the Building of the NAIST Text Corpus

Overview of attention for article published in Journal of Natural Language Processing, January 2010
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About this Attention Score

  • Among the highest-scoring outputs from this source (#42 of 181)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
19 Mendeley
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Title
Annotating Predicate-Argument Relations and Anaphoric Relations: Findings from the Building of the NAIST Text Corpus
Published in
Journal of Natural Language Processing, January 2010
DOI 10.5715/jnlp.17.2_25
Authors

Ryu Iida, Mamoru Komachi, Naoya Inoue, Kentaro Inui, Yuji Matsumoto

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 11%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 32%
Student > Bachelor 4 21%
Student > Ph. D. Student 3 16%
Other 2 11%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 2 11%
Readers by discipline Count As %
Computer Science 14 74%
Linguistics 1 5%
Psychology 1 5%
Social Sciences 1 5%
Unknown 2 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 December 2018.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Journal of Natural Language Processing
#42
of 181 outputs
Outputs of similar age
#51,120
of 172,626 outputs
Outputs of similar age from Journal of Natural Language Processing
#1
of 8 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 181 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 59% 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 172,626 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% 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 all of them