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On the non-parametric changepoint detection of flow regimes in cyclone Amphan

Overview of attention for article published in Oceanologia, April 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
5 Mendeley
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Title
On the non-parametric changepoint detection of flow regimes in cyclone Amphan
Published in
Oceanologia, April 2023
DOI 10.1016/j.oceano.2022.07.006
Authors

Venkat Shesu Reddem, Venkata Jampana, Ravichandran Muthalagu, Venkateswara Rao Bekkam, Pattabhi Rama Rao Eluri, Srinivasa Kumar Tummala

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Lecturer > Senior Lecturer 1 20%
Unknown 2 40%
Readers by discipline Count As %
Earth and Planetary Sciences 2 40%
Economics, Econometrics and Finance 1 20%
Unknown 2 40%
Attention Score in Context

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 18 April 2023.
All research outputs
#15,184,741
of 25,392,582 outputs
Outputs from Oceanologia
#61
of 249 outputs
Outputs of similar age
#189,813
of 421,784 outputs
Outputs of similar age from Oceanologia
#4
of 14 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 249 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done well, scoring higher than 75% 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 421,784 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 52% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.