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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, February 2022
|
| DOI | 10.3389/fninf.2022.761942 |
| Pubmed ID | |
| Authors |
Lei Zhao, Yun-Kai Sun, Shao-Wei Xue, Hong Luo, Xiao-Dong Lu, Lan-Hua Zhang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Master | 2 | 8% |
| Professor | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 12 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 12% |
| Medicine and Dentistry | 2 | 8% |
| Psychology | 2 | 8% |
| Chemical Engineering | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 13 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 March 2022.
All research outputs
#18,825,900
of 23,330,477 outputs
Outputs from Frontiers in Neuroinformatics
#635
of 765 outputs
Outputs of similar age
#318,342
of 441,813 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#19
of 21 outputs
Altmetric has tracked 23,330,477 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 765 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 9th percentile – i.e., 9% 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 441,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.