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Evaluation of post-graduate programs using a network data envelopment analysis model

Overview of attention for article published in DYNA, January 2018
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Mentioned by

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1 Facebook page

Citations

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11 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Evaluation of post-graduate programs using a network data envelopment analysis model
Published in
DYNA, January 2018
DOI 10.15446/dyna.v85n204.60207
Authors

Lidia Angulo Meza, João Carlos Soares de Mello, Silvio Figueiredo Gomes Junior, Plácido Moreno

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 9%
Student > Bachelor 3 9%
Lecturer 2 6%
Student > Ph. D. Student 2 6%
Unspecified 2 6%
Other 10 29%
Unknown 12 35%
Readers by discipline Count As %
Engineering 6 18%
Economics, Econometrics and Finance 4 12%
Business, Management and Accounting 3 9%
Unspecified 2 6%
Mathematics 1 3%
Other 4 12%
Unknown 14 41%
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 19 March 2018.
All research outputs
#22,767,715
of 25,382,440 outputs
Outputs from DYNA
#76
of 97 outputs
Outputs of similar age
#389,382
of 449,583 outputs
Outputs of similar age from DYNA
#6
of 6 outputs
Altmetric has tracked 25,382,440 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 97 research outputs from this source. They receive a mean Attention Score of 1.8. 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 449,583 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 6 others from the same source and published within six weeks on either side of this one.