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SIENA: Semi-automatic semantic enhancement of datasets using concept recognition

Overview of attention for article published in Journal of Biomedical Semantics, March 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
10 Mendeley
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Title
SIENA: Semi-automatic semantic enhancement of datasets using concept recognition
Published in
Journal of Biomedical Semantics, March 2021
DOI 10.1186/s13326-021-00239-z
Pubmed ID
Authors

Andreea Grigoriu, Amrapali Zaveri, Gerhard Weiss, Michel Dumontier

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 20%
Student > Ph. D. Student 2 20%
Researcher 2 20%
Professor 1 10%
Student > Master 1 10%
Other 1 10%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 5 50%
Engineering 2 20%
Social Sciences 1 10%
Agricultural and Biological Sciences 1 10%
Unknown 1 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 April 2024.
All research outputs
#6,563,075
of 25,738,558 outputs
Outputs from Journal of Biomedical Semantics
#90
of 368 outputs
Outputs of similar age
#139,254
of 456,914 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 7 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% 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 456,914 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 69% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.