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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Language in the brain at rest: new insights from resting state data and graph theoretical analysis
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, April 2014
|
| DOI | 10.3389/fnhum.2014.00228 |
| Pubmed ID | |
| Authors |
Angela M. Muller, Martin Meyer |
| Abstract |
In humans, the most obvious functional lateralization is the specialization of the left hemisphere for language. Therefore, the involvement of the right hemisphere in language is one of the most remarkable findings during the last two decades of fMRI research. However, the importance of this finding continues to be underestimated. We examined the interaction between the two hemispheres and also the role of the right hemisphere in language. From two seeds representing Broca's area, we conducted a seed correlation analysis (SCA) of resting state fMRI data and could identify a resting state network (RSN) overlapping to significant extent with a language network that was generated by an automated meta-analysis tool. To elucidate the relationship between the clusters of this RSN, we then performed graph theoretical analyses (GTA) using the same resting state dataset. We show that the right hemisphere is clearly involved in language. A modularity analysis revealed that the interaction between the two hemispheres is mediated by three partitions: A bilateral frontal partition consists of nodes representing the classical left sided language regions as well as two right-sided homologs. The second bilateral partition consists of nodes from the right frontal, the left inferior parietal cortex as well as of two nodes within the posterior cerebellum. The third partition is also bilateral and comprises five regions from the posterior midline parts of the brain to the temporal and frontal cortex, two of the nodes are prominent default mode nodes. The involvement of this last partition in a language relevant function is a novel finding. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 3% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Austria | 1 | <1% |
| Belgium | 1 | <1% |
| China | 1 | <1% |
| Unknown | 151 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 23% |
| Researcher | 32 | 20% |
| Student > Master | 17 | 11% |
| Student > Doctoral Student | 12 | 8% |
| Professor | 10 | 6% |
| Other | 36 | 23% |
| Unknown | 16 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 38 | 24% |
| Neuroscience | 34 | 21% |
| Medicine and Dentistry | 19 | 12% |
| Engineering | 10 | 6% |
| Agricultural and Biological Sciences | 8 | 5% |
| Other | 25 | 16% |
| Unknown | 26 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 11 May 2014.
All research outputs
#5,624,263
of 23,277,141 outputs
Outputs from Frontiers in Human Neuroscience
#2,246
of 7,258 outputs
Outputs of similar age
#52,437
of 228,990 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#108
of 228 outputs
Altmetric has tracked 23,277,141 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,258 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. 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 228,990 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 77% of its contemporaries.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.