You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrating fMRI and SNP data for biomarker identification for schizophrenia with a sparse representation based variable selection method
|
|---|---|
| Published in |
BMC Medical Genomics, November 2013
|
| DOI | 10.1186/1755-8794-6-s3-s2 |
| Pubmed ID | |
| Authors |
Hongbao Cao, Junbo Duan, Dongdong Lin, Vince Calhoun, Yu-Ping Wang |
| Abstract |
In recent years, both single-nucleotide polymorphism (SNP) array and functional magnetic resonance imaging (fMRI) have been widely used for the study of schizophrenia (SCZ). In addition, a few studies have been reported integrating both SNPs data and fMRI data for comprehensive analysis. |
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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Spain | 1 | 2% |
| Unknown | 49 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 21% |
| Researcher | 8 | 15% |
| Student > Master | 7 | 13% |
| Professor > Associate Professor | 6 | 11% |
| Student > Postgraduate | 4 | 8% |
| Other | 7 | 13% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 17% |
| Neuroscience | 8 | 15% |
| Engineering | 6 | 11% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Agricultural and Biological Sciences | 5 | 9% |
| Other | 6 | 11% |
| Unknown | 14 | 26% |
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 21 October 2014.
All research outputs
#20,241,019
of 22,768,097 outputs
Outputs from BMC Medical Genomics
#1,001
of 1,222 outputs
Outputs of similar age
#185,538
of 213,035 outputs
Outputs of similar age from BMC Medical Genomics
#17
of 20 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,222 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 213,035 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.