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LSTM-CRF Models for Named Entity Recognition

Overview of attention for article published in IEICE Transactions on Information and Systems, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 321)
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
43 Mendeley
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Title
LSTM-CRF Models for Named Entity Recognition
Published in
IEICE Transactions on Information and Systems, January 2017
DOI 10.1587/transinf.2016edp7179
Authors

LEE Changki

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 21%
Student > Bachelor 6 14%
Student > Ph. D. Student 5 12%
Researcher 4 9%
Student > Postgraduate 3 7%
Other 8 19%
Unknown 8 19%
Readers by discipline Count As %
Computer Science 19 44%
Engineering 4 9%
Agricultural and Biological Sciences 3 7%
Business, Management and Accounting 2 5%
Mathematics 1 2%
Other 5 12%
Unknown 9 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 23 January 2024.
All research outputs
#5,191,257
of 25,263,619 outputs
Outputs from IEICE Transactions on Information and Systems
#18
of 321 outputs
Outputs of similar age
#97,024
of 433,217 outputs
Outputs of similar age from IEICE Transactions on Information and Systems
#1
of 25 outputs
Altmetric has tracked 25,263,619 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 321 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% 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 433,217 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.