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OntoILPER: an ontology- and inductive logic programming-based system to extract entities and relations from text

Overview of attention for article published in Knowledge and Information Systems, October 2017
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Mentioned by

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1 X user

Citations

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9 Dimensions

Readers on

mendeley
41 Mendeley
Title
OntoILPER: an ontology- and inductive logic programming-based system to extract entities and relations from text
Published in
Knowledge and Information Systems, October 2017
DOI 10.1007/s10115-017-1108-3
Authors

Rinaldo Lima, Bernard Espinasse, Fred Freitas

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Student > Ph. D. Student 6 15%
Researcher 5 12%
Lecturer 2 5%
Professor > Associate Professor 2 5%
Other 7 17%
Unknown 12 29%
Readers by discipline Count As %
Computer Science 20 49%
Business, Management and Accounting 2 5%
Engineering 2 5%
Medicine and Dentistry 1 2%
Unspecified 1 2%
Other 0 0%
Unknown 15 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 28 March 2019.
All research outputs
#21,186,729
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#366
of 614 outputs
Outputs of similar age
#285,582
of 326,529 outputs
Outputs of similar age from Knowledge and Information Systems
#4
of 4 outputs
Altmetric has tracked 23,849,058 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 614 research outputs from this source. They receive a mean Attention Score of 2.3. 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 326,529 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 4 others from the same source and published within six weeks on either side of this one.