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 |
An introductory review of parallel independent component analysis (p-ICA) and a guide to applying p-ICA to genetic data and imaging phenotypes to identify disease-associated biological pathways and systems in common complex disorders
|
|---|---|
| Published in |
Frontiers in Genetics, September 2015
|
| DOI | 10.3389/fgene.2015.00276 |
| Pubmed ID | |
| Authors |
Godfrey D. Pearlson, Jingyu Liu, Vince D. Calhoun |
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 % |
|---|---|---|
| Switzerland | 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 114 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% |
| Turkey | 1 | <1% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 107 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 26% |
| Student > Ph. D. Student | 27 | 24% |
| Student > Master | 9 | 8% |
| Student > Bachelor | 9 | 8% |
| Student > Postgraduate | 8 | 7% |
| Other | 13 | 11% |
| Unknown | 18 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 17 | 15% |
| Medicine and Dentistry | 14 | 12% |
| Engineering | 11 | 10% |
| Psychology | 11 | 10% |
| Agricultural and Biological Sciences | 10 | 9% |
| Other | 24 | 21% |
| Unknown | 27 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 28 September 2019.
All research outputs
#3,782,945
of 25,837,817 outputs
Outputs from Frontiers in Genetics
#1,130
of 13,780 outputs
Outputs of similar age
#47,327
of 280,812 outputs
Outputs of similar age from Frontiers in Genetics
#6
of 65 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,780 research outputs from this source. They receive a mean Attention Score of 3.8. 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 280,812 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 82% of its contemporaries.
We're also able to compare this research output to 65 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.