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Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies

Overview of attention for article published in Journal of Biomedical Semantics, November 2020
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Mentioned by

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2 X users

Citations

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45 Dimensions

Readers on

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135 Mendeley
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Title
Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies
Published in
Journal of Biomedical Semantics, November 2020
DOI 10.1186/s13326-020-00231-z
Pubmed ID
Authors

Martijn G. Kersloot, Florentien J. P. van Putten, Ameen Abu-Hanna, Ronald Cornet, Derk L. Arts

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

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 12%
Student > Master 13 10%
Student > Ph. D. Student 12 9%
Student > Bachelor 9 7%
Other 8 6%
Other 24 18%
Unknown 53 39%
Readers by discipline Count As %
Computer Science 30 22%
Medicine and Dentistry 18 13%
Biochemistry, Genetics and Molecular Biology 4 3%
Mathematics 4 3%
Engineering 4 3%
Other 15 11%
Unknown 60 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 18 November 2020.
All research outputs
#20,356,726
of 25,837,817 outputs
Outputs from Journal of Biomedical Semantics
#291
of 368 outputs
Outputs of similar age
#302,519
of 415,672 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 1 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 17th percentile – i.e., 17% 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 415,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them