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Modeling scientometric indicators using a statistical data ontology

Overview of attention for article published in Journal of Big Data, January 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
33 Mendeley
Title
Modeling scientometric indicators using a statistical data ontology
Published in
Journal of Big Data, January 2022
DOI 10.1186/s40537-022-00562-x
Authors

Victor Lopez-Rodriguez, Hector G. Ceballos

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

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 18%
Researcher 4 12%
Student > Master 3 9%
Lecturer 2 6%
Librarian 2 6%
Other 7 21%
Unknown 9 27%
Readers by discipline Count As %
Computer Science 7 21%
Engineering 3 9%
Unspecified 2 6%
Agricultural and Biological Sciences 2 6%
Social Sciences 2 6%
Other 5 15%
Unknown 12 36%
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 29 January 2022.
All research outputs
#18,577,751
of 23,009,818 outputs
Outputs from Journal of Big Data
#258
of 339 outputs
Outputs of similar age
#362,259
of 502,330 outputs
Outputs of similar age from Journal of Big Data
#6
of 8 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 5th percentile – i.e., 5% 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 502,330 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
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 2 of them.