| Title |
Functional neural network analysis in frontotemporal dementia and Alzheimer's disease using EEG and graph theory
|
|---|---|
| Published in |
BMC Neuroscience, August 2009
|
| DOI | 10.1186/1471-2202-10-101 |
| Pubmed ID | |
| Authors |
Willem de Haan, Yolande AL Pijnenburg, Rob LM Strijers, Yolande van der Made, Wiesje M van der Flier, Philip Scheltens, Cornelis J Stam |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 483 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 1% |
| United States | 5 | 1% |
| Italy | 4 | <1% |
| Germany | 3 | <1% |
| Denmark | 3 | <1% |
| Korea, Republic of | 2 | <1% |
| Netherlands | 2 | <1% |
| Uruguay | 1 | <1% |
| Cuba | 1 | <1% |
| Other | 11 | 2% |
| Unknown | 445 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 120 | 25% |
| Researcher | 90 | 19% |
| Student > Master | 73 | 15% |
| Professor | 25 | 5% |
| Student > Bachelor | 21 | 4% |
| Other | 81 | 17% |
| Unknown | 73 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 75 | 16% |
| Medicine and Dentistry | 61 | 13% |
| Psychology | 56 | 12% |
| Engineering | 53 | 11% |
| Agricultural and Biological Sciences | 45 | 9% |
| Other | 82 | 17% |
| Unknown | 111 | 23% |
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 30 March 2023.
All research outputs
#3,262,106
of 23,592,647 outputs
Outputs from BMC Neuroscience
#137
of 1,263 outputs
Outputs of similar age
#12,195
of 107,651 outputs
Outputs of similar age from BMC Neuroscience
#5
of 31 outputs
Altmetric has tracked 23,592,647 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 1,263 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 89% 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 107,651 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 88% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.