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Rough sets

Overview of attention for article published in International Journal of Parallel Programming, October 1982
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About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 183)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
11242 Dimensions

Readers on

mendeley
441 Mendeley
citeulike
1 CiteULike
Title
Rough sets
Published in
International Journal of Parallel Programming, October 1982
DOI 10.1007/bf01001956
Authors

Zdzisław Pawlak

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 441 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Mexico 2 <1%
Malaysia 1 <1%
Pakistan 1 <1%
Italy 1 <1%
Portugal 1 <1%
Belgium 1 <1%
China 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 429 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 83 19%
Student > Master 55 12%
Researcher 36 8%
Professor > Associate Professor 27 6%
Student > Doctoral Student 25 6%
Other 72 16%
Unknown 143 32%
Readers by discipline Count As %
Computer Science 101 23%
Engineering 59 13%
Mathematics 27 6%
Business, Management and Accounting 24 5%
Economics, Econometrics and Finance 8 2%
Other 61 14%
Unknown 161 37%
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 17 June 2010.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from International Journal of Parallel Programming
#35
of 183 outputs
Outputs of similar age
#2,171
of 7,630 outputs
Outputs of similar age from International Journal of Parallel Programming
#1
of 2 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 183 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 21st percentile – i.e., 21% 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 7,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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