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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diagnosis of Autism Spectrum Disorder Using Central-Moment Features From Low- and High-Order Dynamic Resting-State Functional Connectivity Networks
|
|---|---|
| Published in |
Frontiers in Neuroscience, April 2020
|
| DOI | 10.3389/fnins.2020.00258 |
| Pubmed ID | |
| Authors |
Feng Zhao, Zhiyuan Chen, Islem Rekik, Seong-Whan Lee, Dinggang Shen |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 29% |
| United States | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 16% |
| Researcher | 6 | 16% |
| Student > Bachelor | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Lecturer | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 10 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 16% |
| Computer Science | 3 | 8% |
| Neuroscience | 3 | 8% |
| Unspecified | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 8 | 22% |
| Unknown | 13 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 17 May 2020.
All research outputs
#2,813,089
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#1,805
of 11,543 outputs
Outputs of similar age
#72,618
of 408,120 outputs
Outputs of similar age from Frontiers in Neuroscience
#127
of 366 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 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 408,120 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 366 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 63% of its contemporaries.