| Title |
MEG Assessment of Expressive Language in Children Evaluated for Epilepsy Surgery
|
|---|---|
| Published in |
Brain Topography, March 2019
|
| DOI | 10.1007/s10548-019-00703-1 |
| Pubmed ID | |
| Authors |
Elaine Foley, J. Helen Cross, Ngoc J. Thai, A. Richard Walsh, Peter Bill, Paul Furlong, Amanda G. Wood, Antonella Cerquiglini, Stefano Seri |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 46% |
| Hong Kong | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 2 | 15% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 16% |
| Researcher | 5 | 8% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 26 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 9 | 14% |
| Medicine and Dentistry | 9 | 14% |
| Psychology | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Engineering | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 26 | 41% |
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 12 December 2019.
All research outputs
#3,344,027
of 23,342,232 outputs
Outputs from Brain Topography
#46
of 488 outputs
Outputs of similar age
#75,280
of 352,509 outputs
Outputs of similar age from Brain Topography
#5
of 8 outputs
Altmetric has tracked 23,342,232 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 488 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 90% 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 352,509 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 78% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.