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Details of the analytic hierarchy process technique for the evaluation of health insurance companies

Overview of attention for article published in Production, September 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter
facebook
3 Facebook pages

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
26 Mendeley
Summary Twitter Facebook Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Details of the analytic hierarchy process technique for the evaluation of health insurance companies
Published in
Production, September 2013
DOI 10.1590/s0103-65132013005000070
Authors

Dewey Wollmann, Maria Teresinha Arns Steiner, Guilherme Ernani Vieira, Patrícia Arns Steiner

View on publisher site

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 19%
Student > Master 4 15%
Researcher 4 15%
Student > Ph. D. Student 4 15%
Lecturer 2 8%
Other 4 15%
Unknown 3 12%
Readers by discipline Count As %
Engineering 10 38%
Business, Management and Accounting 2 8%
Environmental Science 2 8%
Economics, Econometrics and Finance 2 8%
Agricultural and Biological Sciences 1 4%
Other 4 15%
Unknown 5 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 December 2014.
All research outputs
#13,898,428
of 22,725,280 outputs
Outputs from Production
#14
of 54 outputs
Outputs of similar age
#110,302
of 201,942 outputs
Outputs of similar age from Production
#1
of 1 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 54 research outputs from this source. They receive a mean Attention Score of 1.8. This one has gotten more attention than average, scoring higher than 74% 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 201,942 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% 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

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