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Linking and Mining Heterogeneous and Multi-view Data

Overview of attention for book
Attention for Chapter 6: How Did the Discussion Go: Discourse Act Classification in Social Media Conversations
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
15 Mendeley
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Chapter title
How Did the Discussion Go: Discourse Act Classification in Social Media Conversations
Chapter number 6
Book title
Linking and Mining Heterogeneous and Multi-view Data
Published in
arXiv, January 2019
DOI 10.1007/978-3-030-01872-6_6
Book ISBNs
978-3-03-001871-9, 978-3-03-001872-6
Authors

Subhabrata Dutta, Tanmoy Chakraborty, Dipankar Das, Dutta, Subhabrata, Chakraborty, Tanmoy, Das, Dipankar

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 20%
Student > Bachelor 2 13%
Student > Postgraduate 2 13%
Student > Ph. D. Student 2 13%
Student > Master 2 13%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 7 47%
Linguistics 2 13%
Business, Management and Accounting 1 7%
Earth and Planetary Sciences 1 7%
Engineering 1 7%
Other 0 0%
Unknown 3 20%
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 08 August 2018.
All research outputs
#14,282,606
of 24,002,307 outputs
Outputs from arXiv
#244,275
of 1,011,770 outputs
Outputs of similar age
#223,238
of 444,829 outputs
Outputs of similar age from arXiv
#6,424
of 24,924 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. 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 444,829 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,924 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 71% of its contemporaries.