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Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions

Overview of attention for article published in BMC Bioinformatics, June 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Readers on

mendeley
35 Mendeley
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Title
Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions
Published in
BMC Bioinformatics, June 2020
DOI 10.1186/s12859-020-03554-x
Pubmed ID
Authors

Tong Wang, Ping Xuan, Zonglin Liu, Tiangang Zhang

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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 14%
Student > Master 4 11%
Student > Ph. D. Student 4 11%
Librarian 1 3%
Student > Bachelor 1 3%
Other 2 6%
Unknown 18 51%
Readers by discipline Count As %
Computer Science 8 23%
Psychology 2 6%
Nursing and Health Professions 2 6%
Medicine and Dentistry 2 6%
Social Sciences 1 3%
Other 1 3%
Unknown 19 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 September 2023.
All research outputs
#7,974,776
of 24,682,395 outputs
Outputs from BMC Bioinformatics
#2,999
of 7,567 outputs
Outputs of similar age
#160,765
of 402,674 outputs
Outputs of similar age from BMC Bioinformatics
#58
of 132 outputs
Altmetric has tracked 24,682,395 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,567 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 58% 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 402,674 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 59% of its contemporaries.
We're also able to compare this research output to 132 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 55% of its contemporaries.