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The identification of critical fluctuations and phase transitions in short term and coarse-grained time series—a method for the real-time monitoring of human change processes

Overview of attention for article published in Biological Cybernetics, January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
100 Mendeley
Title
The identification of critical fluctuations and phase transitions in short term and coarse-grained time series—a method for the real-time monitoring of human change processes
Published in
Biological Cybernetics, January 2010
DOI 10.1007/s00422-009-0362-1
Pubmed ID
Authors

Günter Schiepek, Guido Strunk

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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Netherlands 1 1%
Denmark 1 1%
Germany 1 1%
Unknown 96 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 19%
Researcher 17 17%
Professor > Associate Professor 11 11%
Student > Master 11 11%
Student > Bachelor 6 6%
Other 13 13%
Unknown 23 23%
Readers by discipline Count As %
Psychology 34 34%
Medicine and Dentistry 8 8%
Neuroscience 8 8%
Computer Science 4 4%
Social Sciences 4 4%
Other 17 17%
Unknown 25 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 16 February 2020.
All research outputs
#3,872,045
of 25,837,817 outputs
Outputs from Biological Cybernetics
#51
of 681 outputs
Outputs of similar age
#19,343
of 175,416 outputs
Outputs of similar age from Biological Cybernetics
#2
of 7 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 681 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 91% 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 175,416 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.