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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identify schizophrenia using resting-state functional connectivity: an exploratory research and analysis
|
|---|---|
| Published in |
BioMedical Engineering OnLine, August 2012
|
| DOI | 10.1186/1475-925x-11-50 |
| Pubmed ID | |
| Authors |
Yan Tang, Lifeng Wang, Fang Cao, Liwen Tan |
| Abstract |
Schizophrenia is a severe mental illness associated with the symptoms such as hallucination and delusion. The objective of this study was to investigate the abnormal resting-state functional connectivity patterns of schizophrenic patients which could identify furthest patients from healthy controls. |
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 % |
|---|---|---|
| Mexico | 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 120 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 | 2 | 2% |
| Germany | 1 | <1% |
| Lithuania | 1 | <1% |
| China | 1 | <1% |
| Singapore | 1 | <1% |
| Unknown | 112 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 29% |
| Researcher | 19 | 16% |
| Student > Master | 14 | 12% |
| Student > Bachelor | 11 | 9% |
| Student > Doctoral Student | 6 | 5% |
| Other | 17 | 14% |
| Unknown | 18 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 21 | 18% |
| Psychology | 19 | 16% |
| Medicine and Dentistry | 13 | 11% |
| Engineering | 11 | 9% |
| Computer Science | 10 | 8% |
| Other | 19 | 16% |
| Unknown | 27 | 23% |
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 August 2012.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from BioMedical Engineering OnLine
#607
of 867 outputs
Outputs of similar age
#137,222
of 174,031 outputs
Outputs of similar age from BioMedical Engineering OnLine
#19
of 29 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 15th percentile – i.e., 15% 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 174,031 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.