↓ Skip to main content

Correlation-aided method for identification and gradation of periodicities in hydrologic time series

Overview of attention for article published in Geoscience Letters, April 2021
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
10 Mendeley
Title
Correlation-aided method for identification and gradation of periodicities in hydrologic time series
Published in
Geoscience Letters, April 2021
DOI 10.1186/s40562-021-00183-x
Authors

Ping Xie, Linqian Wu, Yan-Fang Sang, Faith Ka Shun Chan, Jie Chen, Ziyi Wu, Yaqing Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Librarian 1 10%
Student > Doctoral Student 1 10%
Lecturer 1 10%
Student > Bachelor 1 10%
Other 1 10%
Unknown 3 30%
Readers by discipline Count As %
Environmental Science 3 30%
Earth and Planetary Sciences 2 20%
Engineering 1 10%
Unknown 4 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 09 April 2021.
All research outputs
#15,193,919
of 24,898,480 outputs
Outputs from Geoscience Letters
#80
of 213 outputs
Outputs of similar age
#223,179
of 433,464 outputs
Outputs of similar age from Geoscience Letters
#7
of 16 outputs
Altmetric has tracked 24,898,480 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 213 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 62% 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 433,464 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 62% of its contemporaries.