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Querying knowledge graphs in natural language

Overview of attention for article published in Journal of Big Data, January 2021
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Mentioned by

twitter
2 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
103 Mendeley
Title
Querying knowledge graphs in natural language
Published in
Journal of Big Data, January 2021
DOI 10.1186/s40537-020-00383-w
Pubmed ID
Authors

Shiqi Liang, Kurt Stockinger, Tarcisio Mendes de Farias, Maria Anisimova, Manuel Gil

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 16%
Student > Ph. D. Student 11 11%
Student > Master 8 8%
Student > Doctoral Student 7 7%
Lecturer 6 6%
Other 20 19%
Unknown 35 34%
Readers by discipline Count As %
Computer Science 43 42%
Engineering 7 7%
Agricultural and Biological Sciences 3 3%
Linguistics 2 2%
Physics and Astronomy 2 2%
Other 10 10%
Unknown 36 35%
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 26 January 2021.
All research outputs
#18,783,531
of 23,275,636 outputs
Outputs from Journal of Big Data
#269
of 351 outputs
Outputs of similar age
#376,130
of 503,422 outputs
Outputs of similar age from Journal of Big Data
#13
of 21 outputs
Altmetric has tracked 23,275,636 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 351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. 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 503,422 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.