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X Demographics
Mendeley readers
Attention Score in Context
Title |
Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition
|
---|---|
Published in |
Frontiers in Computational Neuroscience, October 2019
|
DOI | 10.3389/fncom.2019.00075 |
Pubmed ID | |
Authors |
James M. Kunert-Graf, Kristian M. Eschenburg, David J. Galas, J. Nathan Kutz, Swati D. Rane, Bingni W. Brunton |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 69 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 22% |
Researcher | 11 | 16% |
Student > Master | 11 | 16% |
Student > Bachelor | 5 | 7% |
Student > Doctoral Student | 3 | 4% |
Other | 6 | 9% |
Unknown | 18 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 10 | 14% |
Neuroscience | 9 | 13% |
Physics and Astronomy | 5 | 7% |
Agricultural and Biological Sciences | 3 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Other | 14 | 20% |
Unknown | 26 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 November 2019.
All research outputs
#17,491,030
of 26,441,283 outputs
Outputs from Frontiers in Computational Neuroscience
#827
of 1,496 outputs
Outputs of similar age
#234,308
of 381,845 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#13
of 20 outputs
Altmetric has tracked 26,441,283 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,496 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 39th percentile – i.e., 39% 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 381,845 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.