The data shown below were collected from the profiles of 41 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
Title |
Classifying Autism Spectrum Disorder Using the Temporal Statistics of Resting-State Functional MRI Data With 3D Convolutional Neural Networks
|
---|---|
Published in |
Frontiers in Psychiatry, May 2020
|
DOI | 10.3389/fpsyt.2020.00440 |
Pubmed ID | |
Authors |
Rajat Mani Thomas, Selene Gallo, Leonardo Cerliani, Paul Zhutovsky, Ahmed El-Gazzar, Guido van Wingen |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 7% |
United States | 2 | 5% |
Germany | 1 | 2% |
Japan | 1 | 2% |
Canada | 1 | 2% |
Unknown | 33 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 26 | 63% |
Scientists | 12 | 29% |
Practitioners (doctors, other healthcare professionals) | 3 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 105 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 18% |
Student > Bachelor | 15 | 14% |
Student > Master | 12 | 11% |
Researcher | 11 | 10% |
Other | 4 | 4% |
Other | 4 | 4% |
Unknown | 40 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 15 | 14% |
Engineering | 13 | 12% |
Computer Science | 12 | 11% |
Psychology | 9 | 9% |
Medicine and Dentistry | 4 | 4% |
Other | 7 | 7% |
Unknown | 45 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 08 December 2022.
All research outputs
#1,745,359
of 26,332,460 outputs
Outputs from Frontiers in Psychiatry
#1,073
of 13,072 outputs
Outputs of similar age
#47,827
of 425,222 outputs
Outputs of similar age from Frontiers in Psychiatry
#39
of 369 outputs
Altmetric has tracked 26,332,460 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,072 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 91% 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 425,222 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 88% of its contemporaries.
We're also able to compare this research output to 369 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.