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ColdRoute: effective routing of cold questions in stack exchange sites

Overview of attention for article published in Data Mining and Knowledge Discovery, June 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
18 Mendeley
Title
ColdRoute: effective routing of cold questions in stack exchange sites
Published in
Data Mining and Knowledge Discovery, June 2018
DOI 10.1007/s10618-018-0577-7
Authors

Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 28%
Student > Ph. D. Student 2 11%
Student > Bachelor 1 6%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 7 39%
Readers by discipline Count As %
Computer Science 9 50%
Business, Management and Accounting 2 11%
Unknown 7 39%
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 28 August 2018.
All research outputs
#7,478,751
of 24,099,692 outputs
Outputs from Data Mining and Knowledge Discovery
#143
of 550 outputs
Outputs of similar age
#123,401
of 333,265 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#2
of 6 outputs
Altmetric has tracked 24,099,692 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 550 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 73% 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 333,265 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 62% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.