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Clinical text classification with rule-based features and knowledge-guided convolutional neural networks

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
105 Dimensions

Readers on

mendeley
131 Mendeley
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Title
Clinical text classification with rule-based features and knowledge-guided convolutional neural networks
Published in
BMC Medical Informatics and Decision Making, April 2019
DOI 10.1186/s12911-019-0781-4
Pubmed ID
Authors

Liang Yao, Chengsheng Mao, Yuan Luo

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 14%
Researcher 14 11%
Student > Master 14 11%
Student > Bachelor 12 9%
Student > Postgraduate 5 4%
Other 17 13%
Unknown 51 39%
Readers by discipline Count As %
Computer Science 40 31%
Engineering 7 5%
Medicine and Dentistry 6 5%
Nursing and Health Professions 3 2%
Agricultural and Biological Sciences 3 2%
Other 15 11%
Unknown 57 44%
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 06 April 2019.
All research outputs
#18,016,017
of 23,140,503 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,522
of 2,016 outputs
Outputs of similar age
#249,038
of 351,526 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#29
of 46 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 21st percentile – i.e., 21% 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 351,526 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.