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Providing real-time assistance in disaster relief by leveraging crowdsourcing power

Overview of attention for article published in Personal and Ubiquitous Computing, January 2014
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Mentioned by

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1 Facebook page

Citations

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40 Dimensions

Readers on

mendeley
110 Mendeley
Title
Providing real-time assistance in disaster relief by leveraging crowdsourcing power
Published in
Personal and Ubiquitous Computing, January 2014
DOI 10.1007/s00779-014-0758-3
Authors

Dingqi Yang, Daqing Zhang, Korbinian Frank, Patrick Robertson, Edel Jennings, Mark Roddy, Michael Lichtenstern

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Ireland 1 <1%
Brazil 1 <1%
Canada 1 <1%
United States 1 <1%
Philippines 1 <1%
Unknown 104 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 21%
Student > Ph. D. Student 21 19%
Student > Bachelor 10 9%
Student > Doctoral Student 7 6%
Student > Postgraduate 7 6%
Other 20 18%
Unknown 22 20%
Readers by discipline Count As %
Computer Science 38 35%
Engineering 9 8%
Social Sciences 9 8%
Business, Management and Accounting 7 6%
Earth and Planetary Sciences 5 5%
Other 11 10%
Unknown 31 28%
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 06 November 2014.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from Personal and Ubiquitous Computing
#1,092
of 1,190 outputs
Outputs of similar age
#266,330
of 307,685 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#10
of 13 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,190 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% 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 307,685 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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.