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Big Data Semantics

Overview of attention for article published in Journal on Data Semantics, May 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
119 Mendeley
Title
Big Data Semantics
Published in
Journal on Data Semantics, May 2018
DOI 10.1007/s13740-018-0086-2
Authors

Paolo Ceravolo, Antonia Azzini, Marco Angelini, Tiziana Catarci, Philippe Cudré-Mauroux, Ernesto Damiani, Alexandra Mazak, Maurice Van Keulen, Mustafa Jarrar, Giuseppe Santucci, Kai-Uwe Sattler, Monica Scannapieco, Manuel Wimmer, Robert Wrembel, Fadi Zaraket

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

Geographical breakdown

Country Count As %
Unknown 119 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 13%
Student > Doctoral Student 15 13%
Student > Master 14 12%
Researcher 9 8%
Student > Bachelor 9 8%
Other 22 18%
Unknown 34 29%
Readers by discipline Count As %
Computer Science 55 46%
Engineering 8 7%
Arts and Humanities 4 3%
Business, Management and Accounting 4 3%
Linguistics 3 3%
Other 8 7%
Unknown 37 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 August 2023.
All research outputs
#7,580,170
of 24,378,986 outputs
Outputs from Journal on Data Semantics
#4
of 24 outputs
Outputs of similar age
#124,374
of 334,532 outputs
Outputs of similar age from Journal on Data Semantics
#1
of 1 outputs
Altmetric has tracked 24,378,986 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 24 research outputs from this source. They receive a mean Attention Score of 1.9. This one scored the same or higher as 20 of them.
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 334,532 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 61% of its contemporaries.
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