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Predicting closed questions on community question answering sites using convolutional neural network

Overview of attention for article published in Neural Computing and Applications, November 2019
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Mentioned by

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1 X user

Citations

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23 Dimensions

Readers on

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16 Mendeley
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Title
Predicting closed questions on community question answering sites using convolutional neural network
Published in
Neural Computing and Applications, November 2019
DOI 10.1007/s00521-019-04592-0
Authors

Pradeep Kumar Roy, Jyoti Prakash Singh

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Lecturer 2 13%
Student > Bachelor 2 13%
Student > Master 2 13%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 5 31%
Readers by discipline Count As %
Computer Science 8 50%
Business, Management and Accounting 1 6%
Unknown 7 44%
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 14 November 2019.
All research outputs
#16,061,913
of 23,839,820 outputs
Outputs from Neural Computing and Applications
#496
of 2,407 outputs
Outputs of similar age
#229,349
of 368,579 outputs
Outputs of similar age from Neural Computing and Applications
#11
of 18 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,407 research outputs from this source. They receive a mean Attention Score of 1.3. This one has gotten more attention than average, scoring higher than 58% of its peers.
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 368,579 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.