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Nonstandard set theories and information management

Overview of attention for article published in Journal of Intelligent Information Systems, January 1996
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About this Attention Score

  • Among the highest-scoring outputs from this source (#45 of 179)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
13 Mendeley
Title
Nonstandard set theories and information management
Published in
Journal of Intelligent Information Systems, January 1996
DOI 10.1007/bf00712384
Authors

Varol Akman, M�jdat Pakkan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Professor > Associate Professor 2 15%
Librarian 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Other 2 15%
Unknown 3 23%
Readers by discipline Count As %
Computer Science 3 23%
Psychology 2 15%
Social Sciences 2 15%
Agricultural and Biological Sciences 1 8%
Philosophy 1 8%
Other 2 15%
Unknown 2 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 2013.
All research outputs
#7,453,827
of 22,787,797 outputs
Outputs from Journal of Intelligent Information Systems
#45
of 179 outputs
Outputs of similar age
#16,762
of 79,180 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#1
of 1 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 179 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 37th percentile – i.e., 37% 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 79,180 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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