The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
Genetic and Environmental Influences on Motor Function: A Magnetoencephalographic Study of Twins
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, June 2014
|
| DOI | 10.3389/fnhum.2014.00455 |
| Pubmed ID | |
| Authors |
Toshihiko Araki, Masayuki Hirata, Hisato Sugata, Takufumi Yanagisawa, Mai Onishi, Yoshiyuki Watanabe, Kayoko Omura, Chika Honda, Kazuo Hayakawa, Shiro Yorifuji |
| Abstract |
To investigate the effect of genetic and environmental influences on cerebral motor function, we determined similarities and differences of movement-related cortical fields (MRCFs) in middle-aged and elderly monozygotic (MZ) twins. MRCFs were measured using a 160-channel magnetoencephalogram system when MZ twins were instructed to repeat lifting of the right index finger. We compared latency, amplitude, dipole location, and dipole intensity of movement-evoked field 1 (MEF1) between 16 MZ twins and 16 pairs of genetically unrelated pairs. Differences in latency and dipole location between MZ twins were significantly less than those between unrelated age-matched pairs. However, amplitude and dipole intensity were not significantly different. These results suggest that the latency and dipole location of MEF1 are determined early in life by genetic and early common environmental factors, whereas amplitude and dipole intensity are influenced by long-term environmental factors. Improved understanding of genetic and environmental factors that influence cerebral motor function may contribute to evaluation and improvement for individual motor function. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 50% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 25% |
| Other | 2 | 13% |
| Professor | 2 | 13% |
| Student > Postgraduate | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Other | 3 | 19% |
| Unknown | 1 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 5 | 31% |
| Medicine and Dentistry | 3 | 19% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Agricultural and Biological Sciences | 1 | 6% |
| Sports and Recreations | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 1 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 June 2014.
All research outputs
#14,196,440
of 22,756,196 outputs
Outputs from Frontiers in Human Neuroscience
#4,585
of 7,138 outputs
Outputs of similar age
#120,121
of 228,245 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#179
of 251 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,138 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 32nd percentile – i.e., 32% 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 228,245 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.