↓ Skip to main content

Jointly Extracting Japanese Predicate-Argument Relation with Markov Logic

Overview of attention for article published in Journal of Natural Language Processing, January 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
76 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Jointly Extracting Japanese Predicate-Argument Relation with Markov Logic
Published in
Journal of Natural Language Processing, January 2013
DOI 10.5715/jnlp.20.251
Authors

Katsumasa Yoshikawa, Masayuki Asahara, Yuji Matsumoto

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

Geographical breakdown

Country Count As %
Japan 1 1%
China 1 1%
Germany 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 16%
Student > Master 11 14%
Researcher 7 9%
Student > Bachelor 4 5%
Other 3 4%
Other 11 14%
Unknown 28 37%
Readers by discipline Count As %
Computer Science 35 46%
Linguistics 4 5%
Agricultural and Biological Sciences 2 3%
Social Sciences 2 3%
Business, Management and Accounting 1 1%
Other 3 4%
Unknown 29 38%
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 19 March 2014.
All research outputs
#16,579,551
of 25,373,627 outputs
Outputs from Journal of Natural Language Processing
#108
of 181 outputs
Outputs of similar age
#185,948
of 288,986 outputs
Outputs of similar age from Journal of Natural Language Processing
#8
of 11 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% 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 is in the 35th percentile – i.e., 35% 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 288,986 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.