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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gender Influence on White Matter Microstructure: A Tract-Based Spatial Statistics Analysis
|
|---|---|
| Published in |
PLOS ONE, March 2014
|
| DOI | 10.1371/journal.pone.0091109 |
| Pubmed ID | |
| Authors |
Richard A. Kanaan, Christopher Chaddock, Matthew Allin, Marco M. Picchioni, Eileen Daly, Sukhi S. Shergill, Philip K. McGuire |
| Abstract |
Sexual dimorphism in human brain structure is well recognised, but less is known about gender differences in white matter microstructure. We used diffusion tensor imaging to explore gender differences in fractional anisotropy (FA), an index of microstructural integrity. We previously found increased FA in the corpus callosum in women, and increased FA in the cerebellum and left superior longitudinal fasciculus (SLF) in men, using a whole-brain voxel-based 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Netherlands | 1 | 1% |
| Canada | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 66 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 33% |
| Researcher | 15 | 21% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 4 | 6% |
| Professor > Associate Professor | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 13 | 19% |
| Neuroscience | 12 | 17% |
| Medicine and Dentistry | 11 | 16% |
| Agricultural and Biological Sciences | 10 | 14% |
| Engineering | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 16 | 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 21 March 2014.
All research outputs
#15,296,915
of 22,749,166 outputs
Outputs from PLOS ONE
#130,420
of 194,169 outputs
Outputs of similar age
#131,326
of 221,377 outputs
Outputs of similar age from PLOS ONE
#3,883
of 6,078 outputs
Altmetric has tracked 22,749,166 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 194,169 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 24th percentile – i.e., 24% 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 221,377 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6,078 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.