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X Demographics
Mendeley readers
Attention Score in Context
Title |
Measuring the Non-linear Directed Information Flow in Schizophrenia by Multivariate Transfer Entropy
|
---|---|
Published in |
Frontiers in Computational Neuroscience, January 2020
|
DOI | 10.3389/fncom.2019.00085 |
Pubmed ID | |
Authors |
Dennis Joe Harmah, Cunbo Li, Fali Li, Yuanyuan Liao, Jiuju Wang, Walid M. A. Ayedh, Joyce Chelangat Bore, Dezhong Yao, Wentian Dong, Peng Xu |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 24% |
Student > Bachelor | 7 | 15% |
Student > Master | 4 | 9% |
Other | 2 | 4% |
Professor | 2 | 4% |
Other | 7 | 15% |
Unknown | 13 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 8 | 17% |
Computer Science | 5 | 11% |
Agricultural and Biological Sciences | 4 | 9% |
Physics and Astronomy | 3 | 7% |
Neuroscience | 3 | 7% |
Other | 9 | 20% |
Unknown | 14 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 March 2021.
All research outputs
#14,943,235
of 25,622,179 outputs
Outputs from Frontiers in Computational Neuroscience
#556
of 1,472 outputs
Outputs of similar age
#237,959
of 478,677 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#19
of 34 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,472 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 gotten more attention than average, scoring higher than 61% 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 478,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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 is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.