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Opinion Mining from Web Documents: Extraction and Structurization

Overview of attention for article published in Transactions of the Japanese Society of Artificial Intelligence, January 2007
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Mentioned by

patent
4 patents

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
138 Mendeley
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Title
Opinion Mining from Web Documents: Extraction and Structurization
Published in
Transactions of the Japanese Society of Artificial Intelligence, January 2007
DOI 10.1527/tjsai.22.227
Authors

Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
Germany 2 1%
India 2 1%
Malaysia 1 <1%
Netherlands 1 <1%
Portugal 1 <1%
Ireland 1 <1%
Korea, Republic of 1 <1%
Czechia 1 <1%
Other 10 7%
Unknown 115 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 27%
Student > Master 36 26%
Researcher 17 12%
Student > Doctoral Student 8 6%
Student > Bachelor 8 6%
Other 25 18%
Unknown 7 5%
Readers by discipline Count As %
Computer Science 97 70%
Linguistics 8 6%
Engineering 7 5%
Social Sciences 6 4%
Business, Management and Accounting 3 2%
Other 7 5%
Unknown 10 7%
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 10 October 2017.
All research outputs
#8,835,526
of 26,106,397 outputs
Outputs from Transactions of the Japanese Society of Artificial Intelligence
#56
of 228 outputs
Outputs of similar age
#46,251
of 171,332 outputs
Outputs of similar age from Transactions of the Japanese Society of Artificial Intelligence
#1
of 4 outputs
Altmetric has tracked 26,106,397 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 228 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 65% 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 171,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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