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User Intent Prediction in Information-seeking Conversations

Overview of attention for article published in arXiv, January 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
59 Mendeley
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Title
User Intent Prediction in Information-seeking Conversations
Published in
arXiv, January 2019
DOI 10.1145/3295750.3298924
Authors

Chen Qu, Liu Yang, Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, Minghui Qiu

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 31%
Student > Master 9 15%
Researcher 7 12%
Student > Bachelor 5 8%
Other 2 3%
Other 5 8%
Unknown 13 22%
Readers by discipline Count As %
Computer Science 37 63%
Social Sciences 3 5%
Engineering 2 3%
Sports and Recreations 1 2%
Business, Management and Accounting 1 2%
Other 1 2%
Unknown 14 24%

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 14 January 2019.
All research outputs
#8,510,436
of 14,137,193 outputs
Outputs from arXiv
#185,767
of 545,506 outputs
Outputs of similar age
#204,782
of 369,252 outputs
Outputs of similar age from arXiv
#9,403
of 25,614 outputs
Altmetric has tracked 14,137,193 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 545,506 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 60% 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 369,252 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25,614 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.