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X Demographics
Mendeley readers
Attention Score in Context
Title |
Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis
|
---|---|
Published in |
Frontiers in Neuroinformatics, October 2018
|
DOI | 10.3389/fninf.2018.00070 |
Pubmed ID | |
Authors |
Mayssa Soussia, Islem Rekik |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 20% |
United States | 1 | 20% |
Unknown | 3 | 60% |
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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 64 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 14% |
Researcher | 8 | 13% |
Student > Master | 8 | 13% |
Student > Bachelor | 6 | 9% |
Student > Postgraduate | 4 | 6% |
Other | 10 | 16% |
Unknown | 19 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 16% |
Psychology | 9 | 14% |
Neuroscience | 9 | 14% |
Medicine and Dentistry | 8 | 13% |
Linguistics | 2 | 3% |
Other | 4 | 6% |
Unknown | 22 | 34% |
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 07 March 2019.
All research outputs
#8,452,325
of 25,382,250 outputs
Outputs from Frontiers in Neuroinformatics
#386
of 828 outputs
Outputs of similar age
#140,236
of 357,342 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#13
of 26 outputs
Altmetric has tracked 25,382,250 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 828 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 52% 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 357,342 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 60% of its contemporaries.
We're also able to compare this research output to 26 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 53% of its contemporaries.