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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Studying Complex Adaptive Systems With Internal States: A Recurrence Network Approach to the Analysis of Multivariate Time-Series Data Representing Self-Reports of Human Experience
|
|---|---|
| Published in |
Frontiers in Applied Mathematics and Statistics, April 2020
|
| DOI | 10.3389/fams.2020.00009 |
| Authors |
Fred Hasselman, Anna M. T. Bosman |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 3 | 27% |
| Netherlands | 2 | 18% |
| Spain | 1 | 9% |
| Belgium | 1 | 9% |
| Serbia | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Researcher | 10 | 20% |
| Student > Bachelor | 6 | 12% |
| Student > Master | 5 | 10% |
| Student > Doctoral Student | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 26 | 51% |
| Neuroscience | 6 | 12% |
| Social Sciences | 5 | 10% |
| Physics and Astronomy | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 11 | 22% |
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 22 January 2022.
All research outputs
#6,493,896
of 26,017,215 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#36
of 407 outputs
Outputs of similar age
#124,253
of 406,283 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#1
of 10 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 407 research outputs from this source. They receive a mean Attention Score of 3.0. 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 406,283 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them