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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Functional connectivity-based signatures of schizophrenia revealed by multiclass pattern analysis of resting-state fMRI from schizophrenic patients and their healthy siblings
|
|---|---|
| Published in |
BioMedical Engineering OnLine, February 2013
|
| DOI | 10.1186/1475-925x-12-10 |
| Pubmed ID | |
| Authors |
Yang Yu, Hui Shen, Huiran Zhang, Ling-Li Zeng, Zhimin Xue, Dewen Hu |
| Abstract |
Recently, a growing number of neuroimaging studies have begun to investigate the brains of schizophrenic patients and their healthy siblings to identify heritable biomarkers of this complex disorder. The objective of this study was to use multiclass pattern analysis to investigate the inheritable characters of schizophrenia at the individual level, by comparing whole-brain resting-state functional connectivity of patients with schizophrenia to their healthy siblings. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| China | 1 | <1% |
| Unknown | 126 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 25% |
| Researcher | 23 | 18% |
| Student > Master | 17 | 13% |
| Student > Bachelor | 12 | 9% |
| Student > Doctoral Student | 9 | 7% |
| Other | 20 | 15% |
| Unknown | 17 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 32 | 24% |
| Psychology | 24 | 18% |
| Medicine and Dentistry | 18 | 14% |
| Computer Science | 11 | 8% |
| Engineering | 10 | 8% |
| Other | 11 | 8% |
| Unknown | 25 | 19% |
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 16 February 2013.
All research outputs
#15,263,666
of 22,696,971 outputs
Outputs from BioMedical Engineering OnLine
#424
of 821 outputs
Outputs of similar age
#182,469
of 282,972 outputs
Outputs of similar age from BioMedical Engineering OnLine
#19
of 34 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 35th percentile – i.e., 35% 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 282,972 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.