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Expert finding in community question answering: a review

Overview of attention for article published in Artificial Intelligence Review, March 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Readers on

mendeley
24 Mendeley
Title
Expert finding in community question answering: a review
Published in
Artificial Intelligence Review, March 2019
DOI 10.1007/s10462-018-09680-6
Authors

Sha Yuan, Yu Zhang, Jie Tang, Wendy Hall, Juan Bautista Cabotà

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 7 29%
Student > Master 6 25%
Lecturer 3 13%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 2 8%
Other 3 13%
Readers by discipline Count As %
Computer Science 12 50%
Unspecified 7 29%
Engineering 2 8%
Mathematics 1 4%
Psychology 1 4%
Other 1 4%

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 31 March 2019.
All research outputs
#8,514,127
of 13,565,334 outputs
Outputs from Artificial Intelligence Review
#96
of 187 outputs
Outputs of similar age
#153,956
of 256,166 outputs
Outputs of similar age from Artificial Intelligence Review
#1
of 9 outputs
Altmetric has tracked 13,565,334 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 187 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 14th percentile – i.e., 14% 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 256,166 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 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