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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Complexity analyses show two distinct types of nonlinear dynamics in short heart period variability recordings
|
|---|---|
| Published in |
Frontiers in Physiology, March 2015
|
| DOI | 10.3389/fphys.2015.00071 |
| Pubmed ID | |
| Authors |
Alberto Porta, Vlasta Bari, Andrea Marchi, Beatrice De Maria, Dirk Cysarz, Peter Van Leeuwen, Anielle C. M. Takahashi, Aparecida M. Catai, Tomaso Gnecchi-Ruscone |
| Abstract |
Two diverse complexity metrics quantifying time irreversibility and local prediction, in connection with a surrogate data approach, were utilized to detect nonlinear dynamics in short heart period (HP) variability series recorded in fetuses, as a function of the gestational period, and in healthy humans, as a function of the magnitude of the orthostatic challenge. The metrics indicated the presence of two distinct types of nonlinear HP dynamics characterized by diverse ranges of time scales. These findings stress the need to render more specific the analysis of nonlinear components of HP dynamics by accounting for different temporal scales. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Researcher | 6 | 17% |
| Student > Bachelor | 5 | 14% |
| Professor | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 9 | 25% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 28% |
| Engineering | 7 | 19% |
| Sports and Recreations | 2 | 6% |
| Neuroscience | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 7 | 19% |
| Unknown | 6 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 March 2015.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from Frontiers in Physiology
#9,340
of 13,562 outputs
Outputs of similar age
#218,707
of 258,975 outputs
Outputs of similar age from Frontiers in Physiology
#71
of 112 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,562 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 258,975 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.