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Indicators of economic crises: a data-driven clustering approach

Overview of attention for article published in Applied Network Science, August 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
19 Mendeley
Title
Indicators of economic crises: a data-driven clustering approach
Published in
Applied Network Science, August 2020
DOI 10.1007/s41109-020-00280-4
Authors

Maximilian Göbel, Tanya Araújo

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 21%
Student > Bachelor 3 16%
Student > Doctoral Student 2 11%
Lecturer 1 5%
Lecturer > Senior Lecturer 1 5%
Other 2 11%
Unknown 6 32%
Readers by discipline Count As %
Business, Management and Accounting 3 16%
Computer Science 3 16%
Economics, Econometrics and Finance 3 16%
Social Sciences 2 11%
Sports and Recreations 1 5%
Other 1 5%
Unknown 6 32%

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 05 August 2020.
All research outputs
#11,598,026
of 18,523,374 outputs
Outputs from Applied Network Science
#262
of 369 outputs
Outputs of similar age
#175,501
of 305,689 outputs
Outputs of similar age from Applied Network Science
#1
of 1 outputs
Altmetric has tracked 18,523,374 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 369 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one is in the 28th percentile – i.e., 28% 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 305,689 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% 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