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Observing choice of loan methods in not-for-profit microfinance using data envelopment analysis

Overview of attention for article published in Expert Systems with Applications, October 2017
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153 Mendeley
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Article details
Title
Observing choice of loan methods in not-for-profit microfinance using data envelopment analysis
Published in
Expert Systems with Applications, October 2017
DOI 10.1016/j.eswa.2017.03.022
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

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

Mendeley demographics

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 19 12%
Student > Master 14 9%
Lecturer 10 7%
Student > Doctoral Student 10 7%
Other 9 6%
Other 37 24%
Unknown 54 35%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 31 20%
Economics, Econometrics and Finance 29 19%
Social Sciences 8 5%
Medicine and Dentistry 7 5%
Agricultural and Biological Sciences 3 2%
Other 16 10%
Unknown 59 39%
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 05 May 2017.
All research outputs
#19,159,789
of 27,788,362 outputs
Outputs from Expert Systems with Applications
#2,297
of 4,607 outputs
Outputs of similar age
#218,482
of 336,599 outputs
Outputs of similar age from Expert Systems with Applications
#44
of 62 outputs
Altmetric has tracked 27,788,362 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,607 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 35th percentile – i.e., 35% 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 336,599 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.