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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of Resting Spatio-Temporal Dynamics of a Neural Mass Model Using Resting fMRI Connectivity and EEG Microstates
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2020
|
| DOI | 10.3389/fncom.2019.00091 |
| Pubmed ID | |
| Authors |
Hidenori Endo, Nobuo Hiroe, Okito Yamashita |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 8% |
| United States | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 10 | 77% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 3 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 22% |
| Student > Master | 7 | 17% |
| Researcher | 7 | 17% |
| Student > Bachelor | 4 | 10% |
| Other | 3 | 7% |
| Other | 2 | 5% |
| Unknown | 9 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 29% |
| Engineering | 4 | 10% |
| Sports and Recreations | 3 | 7% |
| Computer Science | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 7 | 17% |
| Unknown | 12 | 29% |
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 21 October 2023.
All research outputs
#5,674,571
of 26,557,909 outputs
Outputs from Frontiers in Computational Neuroscience
#239
of 1,500 outputs
Outputs of similar age
#124,516
of 484,690 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#9
of 34 outputs
Altmetric has tracked 26,557,909 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,500 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 83% 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 484,690 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 74% of its contemporaries.
We're also able to compare this research output to 34 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 73% of its contemporaries.