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Design of a software architecture supporting business-to-government information sharing to improve public safety and security

Overview of attention for article published in Journal of Intelligent Information Systems, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 196)
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
1 policy source
twitter
6 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
303 Mendeley
Title
Design of a software architecture supporting business-to-government information sharing to improve public safety and security
Published in
Journal of Intelligent Information Systems, July 2017
DOI 10.1007/s10844-017-0478-z
Authors

Sélinde van Engelenburg, Marijn Janssen, Bram Klievink

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 303 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 50 17%
Student > Ph. D. Student 38 13%
Student > Doctoral Student 24 8%
Researcher 19 6%
Student > Bachelor 15 5%
Other 45 15%
Unknown 112 37%
Readers by discipline Count As %
Business, Management and Accounting 54 18%
Computer Science 45 15%
Engineering 26 9%
Social Sciences 23 8%
Economics, Econometrics and Finance 9 3%
Other 27 9%
Unknown 119 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 07 December 2023.
All research outputs
#3,196,292
of 24,620,113 outputs
Outputs from Journal of Intelligent Information Systems
#8
of 196 outputs
Outputs of similar age
#56,905
of 321,565 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#2
of 6 outputs
Altmetric has tracked 24,620,113 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 196 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 96% 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 321,565 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.