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Mendeley readers
Attention Score in Context
| Title |
Detrended Fluctuation Analysis: A Scale-Free View on Neuronal Oscillations
|
|---|---|
| Published in |
Frontiers in Physiology, January 2012
|
| DOI | 10.3389/fphys.2012.00450 |
| Pubmed ID | |
| Authors |
Richard Hardstone, Simon-Shlomo Poil, Giuseppina Schiavone, Rick Jansen, Vadim V. Nikulin, Huibert D. Mansvelder, Klaus Linkenkaer-Hansen |
| Abstract |
Recent years of research have shown that the complex temporal structure of ongoing oscillations is scale-free and characterized by long-range temporal correlations. Detrended fluctuation analysis (DFA) has proven particularly useful, revealing that genetic variation, normal development, or disease can lead to differences in the scale-free amplitude modulation of oscillations. Furthermore, amplitude dynamics is remarkably independent of the time-averaged oscillation power, indicating that the DFA provides unique insights into the functional organization of neuronal systems. To facilitate understanding and encourage wider use of scaling analysis of neuronal oscillations, we provide a pedagogical explanation of the DFA algorithm and its underlying theory. Practical advice on applying DFA to oscillations is supported by MATLAB scripts from the Neurophysiological Biomarker Toolbox (NBT) and links to the NBT tutorial website http://www.nbtwiki.net/. Finally, we provide a brief overview of insights derived from the application of DFA to ongoing oscillations in health and disease, and discuss the putative relevance of criticality for understanding the mechanism underlying scale-free modulation of oscillations. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 25% |
| Australia | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 605 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 7 | 1% |
| United States | 3 | <1% |
| United Kingdom | 3 | <1% |
| Australia | 2 | <1% |
| Spain | 2 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Germany | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 582 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 140 | 23% |
| Researcher | 105 | 17% |
| Student > Master | 100 | 17% |
| Student > Bachelor | 69 | 11% |
| Student > Doctoral Student | 28 | 5% |
| Other | 81 | 13% |
| Unknown | 82 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 132 | 22% |
| Psychology | 73 | 12% |
| Engineering | 62 | 10% |
| Agricultural and Biological Sciences | 47 | 8% |
| Medicine and Dentistry | 45 | 7% |
| Other | 132 | 22% |
| Unknown | 114 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 11 December 2023.
All research outputs
#4,814,222
of 26,017,215 outputs
Outputs from Frontiers in Physiology
#2,407
of 15,730 outputs
Outputs of similar age
#37,770
of 255,923 outputs
Outputs of similar age from Frontiers in Physiology
#49
of 318 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,730 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 84% 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 255,923 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 85% of its contemporaries.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.