The data shown below were collected from the profiles of 6 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 |
Application of Support Vector Machine on fMRI Data as Biomarkers in Schizophrenia Diagnosis: A Systematic Review
|
|---|---|
| Published in |
Frontiers in Psychiatry, June 2020
|
| DOI | 10.3389/fpsyt.2020.00588 |
| Pubmed ID | |
| Authors |
Luca Steardo, Elvira Anna Carbone, Renato de Filippis, Claudia Pisanu, Cristina Segura-Garcia, Alessio Squassina, Pasquale De Fazio, Luca Steardo |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 14% |
| Researcher | 10 | 10% |
| Student > Bachelor | 8 | 8% |
| Student > Ph. D. Student | 7 | 7% |
| Other | 6 | 6% |
| Other | 16 | 16% |
| Unknown | 38 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 13% |
| Psychology | 10 | 10% |
| Neuroscience | 8 | 8% |
| Computer Science | 8 | 8% |
| Engineering | 5 | 5% |
| Other | 11 | 11% |
| Unknown | 44 | 44% |
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 24 July 2020.
All research outputs
#8,413,871
of 25,746,891 outputs
Outputs from Frontiers in Psychiatry
#4,009
of 12,882 outputs
Outputs of similar age
#177,963
of 435,651 outputs
Outputs of similar age from Frontiers in Psychiatry
#146
of 386 outputs
Altmetric has tracked 25,746,891 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 12,882 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 67% 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 435,651 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 58% of its contemporaries.
We're also able to compare this research output to 386 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 61% of its contemporaries.