↓ Skip to main content

Attention-based deep residual learning network for entity relation extraction in Chinese EMRs

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
52 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
Attention-based deep residual learning network for entity relation extraction in Chinese EMRs
Published in
BMC Medical Informatics and Decision Making, April 2019
DOI 10.1186/s12911-019-0769-0
Pubmed ID
Authors

Zhichang Zhang, Tong Zhou, Yu Zhang, Yali Pang

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Researcher 7 13%
Student > Postgraduate 4 8%
Student > Master 4 8%
Student > Bachelor 2 4%
Other 7 13%
Unknown 19 37%
Readers by discipline Count As %
Computer Science 18 35%
Medicine and Dentistry 4 8%
Engineering 2 4%
Psychology 2 4%
Agricultural and Biological Sciences 1 2%
Other 0 0%
Unknown 25 48%
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 12 April 2019.
All research outputs
#14,382,587
of 23,140,503 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,114
of 2,016 outputs
Outputs of similar age
#194,433
of 352,700 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#22
of 44 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,016 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 44th percentile – i.e., 44% 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 352,700 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.