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A deep multi-modal neural network for informative Twitter content classification during emergencies

Overview of attention for article published in Annals of Operations Research, January 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
4 X users
patent
2 patents

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
96 Mendeley
Title
A deep multi-modal neural network for informative Twitter content classification during emergencies
Published in
Annals of Operations Research, January 2020
DOI 10.1007/s10479-020-03514-x
Authors

Abhinav Kumar, Jyoti Prakash Singh, Yogesh K. Dwivedi, Nripendra P. Rana

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 21%
Student > Master 9 9%
Professor 5 5%
Researcher 4 4%
Student > Doctoral Student 4 4%
Other 13 14%
Unknown 41 43%
Readers by discipline Count As %
Computer Science 27 28%
Business, Management and Accounting 9 9%
Engineering 5 5%
Social Sciences 3 3%
Arts and Humanities 2 2%
Other 5 5%
Unknown 45 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 February 2024.
All research outputs
#6,260,662
of 25,059,640 outputs
Outputs from Annals of Operations Research
#78
of 830 outputs
Outputs of similar age
#124,615
of 469,247 outputs
Outputs of similar age from Annals of Operations Research
#1
of 8 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 830 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 90% 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 469,247 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 73% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them