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An automatic approach for constructing a knowledge base of symptoms in Chinese

Overview of attention for article published in Journal of Biomedical Semantics, September 2017
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

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31 Dimensions

Readers on

mendeley
42 Mendeley
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Title
An automatic approach for constructing a knowledge base of symptoms in Chinese
Published in
Journal of Biomedical Semantics, September 2017
DOI 10.1186/s13326-017-0145-x
Pubmed ID
Authors

Tong Ruan, Mengjie Wang, Jian Sun, Ting Wang, Lu Zeng, Yichao Yin, Ju 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Student > Ph. D. Student 6 14%
Student > Bachelor 5 12%
Researcher 4 10%
Other 2 5%
Other 6 14%
Unknown 12 29%
Readers by discipline Count As %
Computer Science 15 36%
Medicine and Dentistry 8 19%
Engineering 3 7%
Nursing and Health Professions 1 2%
Arts and Humanities 1 2%
Other 2 5%
Unknown 12 29%
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 09 December 2019.
All research outputs
#15,591,755
of 23,179,757 outputs
Outputs from Journal of Biomedical Semantics
#239
of 366 outputs
Outputs of similar age
#200,032
of 318,738 outputs
Outputs of similar age from Journal of Biomedical Semantics
#7
of 17 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 366 research outputs from this source. They receive a mean Attention Score of 4.6. 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 318,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.