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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accurate Reconstruction of Image Stimuli From Human Functional Magnetic Resonance Imaging Based on the Decoding Model With Capsule Network Architecture
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, September 2018
|
| DOI | 10.3389/fninf.2018.00062 |
| Pubmed ID | |
| Authors |
Kai Qiao, Chi Zhang, Linyuan Wang, Jian Chen, Lei Zeng, Li Tong, Bin Yan |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 31% |
| Student > Master | 15 | 25% |
| Student > Doctoral Student | 7 | 11% |
| Student > Bachelor | 6 | 10% |
| Other | 4 | 7% |
| Other | 13 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 48% |
| Neuroscience | 13 | 21% |
| Engineering | 7 | 11% |
| Physics and Astronomy | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 3 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 October 2018.
All research outputs
#17,991,384
of 23,105,443 outputs
Outputs from Frontiers in Neuroinformatics
#600
of 758 outputs
Outputs of similar age
#245,210
of 342,067 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#20
of 23 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 758 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 17th percentile – i.e., 17% 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 342,067 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% 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 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.