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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dynamical density delay maps: simple, new method for visualising the behaviour of complex systems
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2014
|
| DOI | 10.1186/1472-6947-14-6 |
| Pubmed ID | |
| Authors |
Anton Burykin, Madalena D Costa, Luca Citi, Ary L Goldberger |
| Abstract |
Physiologic signals, such as cardiac interbeat intervals, exhibit complex fluctuations. However, capturing important dynamical properties, including nonstationarities may not be feasible from conventional time series graphical representations. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 80% |
| India | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 1 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Turkey | 1 | 2% |
| Unknown | 46 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 24% |
| Student > Ph. D. Student | 11 | 22% |
| Professor | 7 | 14% |
| Student > Master | 4 | 8% |
| Other | 4 | 8% |
| Other | 8 | 16% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 22% |
| Computer Science | 7 | 14% |
| Engineering | 6 | 12% |
| Physics and Astronomy | 3 | 6% |
| Psychology | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 12 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 August 2017.
All research outputs
#5,091,550
of 25,262,379 outputs
Outputs from BMC Medical Informatics and Decision Making
#431
of 2,137 outputs
Outputs of similar age
#57,171
of 318,244 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 26 outputs
Altmetric has tracked 25,262,379 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,137 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 79% 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 318,244 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 81% of its contemporaries.
We're also able to compare this research output to 26 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 65% of its contemporaries.