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CUILESS2016: a clinical corpus applying compositional normalization of text mentions

Overview of attention for article published in Journal of Biomedical Semantics, January 2018
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
40 Mendeley
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Title
CUILESS2016: a clinical corpus applying compositional normalization of text mentions
Published in
Journal of Biomedical Semantics, January 2018
DOI 10.1186/s13326-017-0173-6
Pubmed ID
Authors

John D. Osborne, Matthew B. Neu, Maria I. Danila, Thamar Solorio, Steven J. Bethard

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Postgraduate 5 13%
Student > Bachelor 5 13%
Researcher 5 13%
Student > Master 4 10%
Other 6 15%
Unknown 8 20%
Readers by discipline Count As %
Computer Science 11 28%
Medicine and Dentistry 8 20%
Engineering 4 10%
Linguistics 2 5%
Psychology 1 3%
Other 4 10%
Unknown 10 25%

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 01 August 2019.
All research outputs
#13,729,441
of 15,561,549 outputs
Outputs from Journal of Biomedical Semantics
#328
of 343 outputs
Outputs of similar age
#218,452
of 261,608 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 1 outputs
Altmetric has tracked 15,561,549 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 343 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 1st percentile – i.e., 1% 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 261,608 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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