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Domain-specific sentiment analysis for tweets during hurricanes (DSSA-H): A domain-adversarial neural-network-based approach

Overview of attention for article published in Computers, Environment & Urban Systems, September 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
114 Mendeley
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Title
Domain-specific sentiment analysis for tweets during hurricanes (DSSA-H): A domain-adversarial neural-network-based approach
Published in
Computers, Environment & Urban Systems, September 2020
DOI 10.1016/j.compenvurbsys.2020.101522
Authors

Fang Yao, Yan Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 12%
Student > Bachelor 10 9%
Student > Master 9 8%
Researcher 7 6%
Lecturer 7 6%
Other 27 24%
Unknown 40 35%
Readers by discipline Count As %
Computer Science 29 25%
Engineering 12 11%
Business, Management and Accounting 8 7%
Social Sciences 7 6%
Unspecified 3 3%
Other 8 7%
Unknown 47 41%
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 10 July 2020.
All research outputs
#15,529,011
of 25,387,668 outputs
Outputs from Computers, Environment & Urban Systems
#433
of 620 outputs
Outputs of similar age
#230,010
of 424,805 outputs
Outputs of similar age from Computers, Environment & Urban Systems
#7
of 11 outputs
Altmetric has tracked 25,387,668 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 620 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 27th percentile – i.e., 27% 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 424,805 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.