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Multi-task learning for Chinese clinical named entity recognition with external knowledge

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2021
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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16 Mendeley
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Title
Multi-task learning for Chinese clinical named entity recognition with external knowledge
Published in
BMC Medical Informatics and Decision Making, December 2021
DOI 10.1186/s12911-021-01717-1
Pubmed ID
Authors

Ming Cheng, Shufeng Xiong, Fei Li, Pan Liang, Jianbo Gao

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 13%
Unspecified 1 6%
Other 1 6%
Librarian 1 6%
Lecturer 1 6%
Other 1 6%
Unknown 9 56%
Readers by discipline Count As %
Computer Science 3 19%
Unspecified 1 6%
Nursing and Health Professions 1 6%
Engineering 1 6%
Unknown 10 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 January 2022.
All research outputs
#20,262,276
of 22,792,160 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,802
of 1,987 outputs
Outputs of similar age
#407,530
of 497,316 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#45
of 59 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,987 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 497,316 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.