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Mendeley readers
Attention Score in Context
| Title |
Maximum entropy spectral analysis for circadian rhythms: theory, history and practice
|
|---|---|
| Published in |
Journal of Circadian Rhythms, July 2013
|
| DOI | 10.1186/1740-3391-11-6 |
| Pubmed ID | |
| Authors |
Harold B Dowse |
| Abstract |
There is an array of numerical techniques available to estimate the period of circadian and other biological rhythms. Criteria for choosing a method include accuracy of period measurement, resolution of signal embedded in noise or of multiple periodicities, and sensitivity to the presence of weak rhythms and robustness in the presence of stochastic noise. Maximum Entropy Spectral Analysis (MESA) has proven itself excellent in all regards. The MESA algorithm fits an autoregressive model to the data and extracts the spectrum from its coefficients. Entropy in this context refers to "ignorance" of the data and since this is formally maximized, no unwarranted assumptions are made. Computationally, the coefficients are calculated efficiently by solution of the Yule-Walker equations in an iterative algorithm. MESA is compared here to other common techniques. It is normal to remove high frequency noise from time series using digital filters before analysis. The Butterworth filter is demonstrated here and a danger inherent in multiple filtering passes is discussed. |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 2% |
| Chile | 1 | 2% |
| France | 1 | 2% |
| Ireland | 1 | 2% |
| Mexico | 1 | 2% |
| Unknown | 47 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 29% |
| Researcher | 10 | 19% |
| Student > Bachelor | 6 | 12% |
| Student > Doctoral Student | 5 | 10% |
| Lecturer | 4 | 8% |
| Other | 8 | 15% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 35% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Engineering | 4 | 8% |
| Neuroscience | 3 | 6% |
| Medicine and Dentistry | 3 | 6% |
| Other | 13 | 25% |
| Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 15 July 2013.
All research outputs
#5,545,159
of 22,714,025 outputs
Outputs from Journal of Circadian Rhythms
#33
of 103 outputs
Outputs of similar age
#46,160
of 194,295 outputs
Outputs of similar age from Journal of Circadian Rhythms
#2
of 3 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has gotten more attention than average, scoring higher than 67% 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 194,295 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 76% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.