↓ Skip to main content

Detection of medical text semantic similarity based on convolutional neural network

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

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)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
76 Mendeley
Title
Detection of medical text semantic similarity based on convolutional neural network
Published in
BMC Medical Informatics and Decision Making, August 2019
DOI 10.1186/s12911-019-0880-2
Pubmed ID
Authors

Tao Zheng, Yimei Gao, Fei Wang, Chenhao Fan, Xingzhi Fu, Mei Li, Ya Zhang, Shaodian Zhang, Handong Ma

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

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 20%
Researcher 10 13%
Student > Ph. D. Student 8 11%
Student > Bachelor 6 8%
Lecturer 4 5%
Other 11 14%
Unknown 22 29%
Readers by discipline Count As %
Computer Science 23 30%
Medicine and Dentistry 8 11%
Engineering 4 5%
Nursing and Health Professions 2 3%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 8 11%
Unknown 29 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 15 June 2023.
All research outputs
#4,963,294
of 24,041,016 outputs
Outputs from BMC Medical Informatics and Decision Making
#441
of 2,054 outputs
Outputs of similar age
#94,114
of 348,122 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#14
of 45 outputs
Altmetric has tracked 24,041,016 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,054 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 78% 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 348,122 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 45 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 71% of its contemporaries.