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An algorithm for identification of natural disaster affected area

Overview of attention for article published in Journal of Big Data, November 2017
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Mentioned by

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1 X user

Citations

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22 Dimensions

Readers on

mendeley
71 Mendeley
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Title
An algorithm for identification of natural disaster affected area
Published in
Journal of Big Data, November 2017
DOI 10.1186/s40537-017-0096-1
Authors

M. V. Sangameswar, M. Nagabhushana Rao, S. Satyanarayana

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Student > Ph. D. Student 8 11%
Student > Bachelor 6 8%
Researcher 5 7%
Other 3 4%
Other 17 24%
Unknown 20 28%
Readers by discipline Count As %
Computer Science 24 34%
Engineering 8 11%
Business, Management and Accounting 4 6%
Environmental Science 3 4%
Social Sciences 3 4%
Other 6 8%
Unknown 23 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 March 2019.
All research outputs
#18,671,706
of 23,133,982 outputs
Outputs from Journal of Big Data
#264
of 346 outputs
Outputs of similar age
#254,205
of 331,667 outputs
Outputs of similar age from Journal of Big Data
#13
of 14 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 5th percentile – i.e., 5% 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 331,667 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.