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KLOSURE: Closing in on open–ended patient questionnaires with text mining

Overview of attention for article published in Journal of Biomedical Semantics, November 2019
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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 (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
83 Mendeley
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Title
KLOSURE: Closing in on open–ended patient questionnaires with text mining
Published in
Journal of Biomedical Semantics, November 2019
DOI 10.1186/s13326-019-0215-3
Pubmed ID
Authors

Irena Spasić, David Owen, Andrew Smith, Kate Button

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 8%
Student > Bachelor 7 8%
Researcher 6 7%
Student > Ph. D. Student 6 7%
Other 5 6%
Other 13 16%
Unknown 39 47%
Readers by discipline Count As %
Computer Science 13 16%
Medicine and Dentistry 8 10%
Nursing and Health Professions 5 6%
Agricultural and Biological Sciences 4 5%
Engineering 4 5%
Other 8 10%
Unknown 41 49%
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 14 November 2019.
All research outputs
#5,041,283
of 24,099,692 outputs
Outputs from Journal of Biomedical Semantics
#75
of 364 outputs
Outputs of similar age
#96,888
of 363,748 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 8 outputs
Altmetric has tracked 24,099,692 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 364 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 79% 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 363,748 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 73% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.