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Explainable Prediction of Medical Codes With Knowledge Graphs

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, August 2020
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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34 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Explainable Prediction of Medical Codes With Knowledge Graphs
Published in
Frontiers in Bioengineering and Biotechnology, August 2020
DOI 10.3389/fbioe.2020.00867
Pubmed ID
Authors

Fei Teng, Wei Yang, Li Chen, LuFei Huang, Qiang Xu

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 18%
Researcher 10 16%
Student > Ph. D. Student 9 15%
Student > Doctoral Student 4 6%
Professor > Associate Professor 2 3%
Other 3 5%
Unknown 23 37%
Readers by discipline Count As %
Computer Science 24 39%
Medicine and Dentistry 5 8%
Business, Management and Accounting 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Unspecified 1 2%
Other 4 6%
Unknown 23 37%
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 15 September 2020.
All research outputs
#18,741,020
of 23,230,825 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,505
of 6,907 outputs
Outputs of similar age
#299,910
of 397,873 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#244
of 447 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,907 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 31st percentile – i.e., 31% 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 397,873 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 447 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.