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Entity recognition from clinical texts via recurrent neural network

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
6 patents

Citations

dimensions_citation
155 Dimensions

Readers on

mendeley
202 Mendeley
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Title
Entity recognition from clinical texts via recurrent neural network
Published in
BMC Medical Informatics and Decision Making, July 2017
DOI 10.1186/s12911-017-0468-7
Pubmed ID
Authors

Zengjian Liu, Ming Yang, Xiaolong Wang, Qingcai Chen, Buzhou Tang, Zhe Wang, Hua Xu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 202 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 20%
Student > Master 32 16%
Researcher 22 11%
Student > Doctoral Student 15 7%
Student > Bachelor 15 7%
Other 29 14%
Unknown 49 24%
Readers by discipline Count As %
Computer Science 62 31%
Medicine and Dentistry 19 9%
Engineering 15 7%
Social Sciences 7 3%
Agricultural and Biological Sciences 6 3%
Other 26 13%
Unknown 67 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 January 2024.
All research outputs
#4,876,571
of 23,467,261 outputs
Outputs from BMC Medical Informatics and Decision Making
#454
of 2,020 outputs
Outputs of similar age
#83,405
of 314,352 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 41 outputs
Altmetric has tracked 23,467,261 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,020 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 77% 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 314,352 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.