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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, April 2018
|
| DOI | 10.3389/fninf.2018.00023 |
| Pubmed ID | |
| Authors |
Dong Wen, Zhenhao Wei, Yanhong Zhou, Guolin Li, Xu Zhang, Wei Han |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Brazil | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 224 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 17% |
| Student > Master | 33 | 15% |
| Student > Bachelor | 17 | 8% |
| Researcher | 16 | 7% |
| Student > Doctoral Student | 16 | 7% |
| Other | 23 | 10% |
| Unknown | 80 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 33 | 15% |
| Engineering | 30 | 13% |
| Computer Science | 28 | 13% |
| Psychology | 10 | 4% |
| Agricultural and Biological Sciences | 6 | 3% |
| Other | 20 | 9% |
| Unknown | 97 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 April 2019.
All research outputs
#15,232,105
of 25,861,751 outputs
Outputs from Frontiers in Neuroinformatics
#466
of 847 outputs
Outputs of similar age
#177,505
of 342,055 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#15
of 23 outputs
Altmetric has tracked 25,861,751 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 847 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 43rd percentile – i.e., 43% 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 342,055 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.