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Exploiting the category structure of Wikipedia for entity ranking

Overview of attention for article published in Artificial Intelligence, January 2013
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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36 Dimensions

Readers on

mendeley
106 Mendeley
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Title
Exploiting the category structure of Wikipedia for entity ranking
Published in
Artificial Intelligence, January 2013
DOI 10.1016/j.artint.2012.06.003
Authors

Rianne Kaptein, Jaap Kamps

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

Geographical breakdown

Country Count As %
Netherlands 2 2%
United Kingdom 2 2%
Spain 2 2%
Italy 2 2%
United States 2 2%
Norway 1 <1%
India 1 <1%
Iran, Islamic Republic of 1 <1%
Portugal 1 <1%
Other 2 2%
Unknown 90 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 28%
Researcher 18 17%
Student > Master 12 11%
Student > Doctoral Student 8 8%
Professor > Associate Professor 8 8%
Other 20 19%
Unknown 10 9%
Readers by discipline Count As %
Computer Science 66 62%
Engineering 8 8%
Social Sciences 6 6%
Linguistics 3 3%
Business, Management and Accounting 3 3%
Other 7 7%
Unknown 13 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 July 2012.
All research outputs
#15,517,992
of 25,374,647 outputs
Outputs from Artificial Intelligence
#730
of 1,083 outputs
Outputs of similar age
#175,093
of 288,991 outputs
Outputs of similar age from Artificial Intelligence
#12
of 17 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 31st percentile – i.e., 31% 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 288,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.