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Machine learning approach to drivers of bank lending: evidence from an emerging economy

Overview of attention for article published in Financial Innovation, March 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 181)
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
60 Mendeley
Title
Machine learning approach to drivers of bank lending: evidence from an emerging economy
Published in
Financial Innovation, March 2021
DOI 10.1186/s40854-021-00237-1
Authors

Onder Ozgur, Erdal Tanas Karagol, Fatih Cemil Ozbugday

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 10%
Student > Ph. D. Student 4 7%
Student > Doctoral Student 4 7%
Other 3 5%
Researcher 3 5%
Other 11 18%
Unknown 29 48%
Readers by discipline Count As %
Economics, Econometrics and Finance 11 18%
Business, Management and Accounting 8 13%
Computer Science 5 8%
Engineering 3 5%
Environmental Science 1 2%
Other 3 5%
Unknown 29 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 31 March 2021.
All research outputs
#5,029,903
of 24,417,958 outputs
Outputs from Financial Innovation
#37
of 181 outputs
Outputs of similar age
#118,272
of 430,153 outputs
Outputs of similar age from Financial Innovation
#3
of 18 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 181 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 79% 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 430,153 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.