| Title |
Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics
|
|---|---|
| Published in |
Neuroinformatics, March 2019
|
| DOI | 10.1007/s12021-019-09416-z |
| Pubmed ID | |
| Authors |
Natalia Vilor-Tejedor, Mohammad Arfan Ikram, Gennady V. Roshchupkin, Alejandro Cáceres, Silvia Alemany, Meike W. Vernooij, Wiro J. Niessen, Cornelia M. van Duijn, Jordi Sunyer, Hieab H. Adams, Juan R. González |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 29% |
| Germany | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 29% |
| Unspecified | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 29% |
| Arts and Humanities | 1 | 7% |
| Unspecified | 1 | 7% |
| Nursing and Health Professions | 1 | 7% |
| Chemistry | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 5 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 30 September 2021.
All research outputs
#6,443,697
of 23,136,540 outputs
Outputs from Neuroinformatics
#125
of 407 outputs
Outputs of similar age
#122,144
of 350,917 outputs
Outputs of similar age from Neuroinformatics
#3
of 7 outputs
Altmetric has tracked 23,136,540 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 407 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 69% 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 350,917 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 64% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.