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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Imbalance of Functional Connectivity and Temporal Entropy in Resting-State Networks in Autism Spectrum Disorder: A Machine Learning Approach
|
|---|---|
| Published in |
Frontiers in Neuroscience, November 2018
|
| DOI | 10.3389/fnins.2018.00869 |
| Pubmed ID | |
| Authors |
Robert X. Smith, Kay Jann, Mirella Dapretto, Danny J. J. Wang |
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 % |
|---|---|---|
| United Kingdom | 1 | 20% |
| Italy | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 17% |
| Researcher | 12 | 16% |
| Student > Master | 9 | 12% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Doctoral Student | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 22 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 18 | 24% |
| Psychology | 13 | 17% |
| Medicine and Dentistry | 6 | 8% |
| Computer Science | 4 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 23 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 November 2018.
All research outputs
#8,190,103
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#5,174
of 11,543 outputs
Outputs of similar age
#156,302
of 446,449 outputs
Outputs of similar age from Frontiers in Neuroscience
#104
of 286 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 54% 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 446,449 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 64% of its contemporaries.
We're also able to compare this research output to 286 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 62% of its contemporaries.