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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Meta-Learning for Decoding Neural Activity Data With Noisy Labels
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, July 2022
|
| DOI | 10.3389/fncom.2022.913617 |
| Pubmed ID | |
| Authors |
Dongfang Xu, Rong Chen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 25% |
| Unknown | 3 | 75% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 25% |
| Unknown | 3 | 75% |
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 18 July 2022.
All research outputs
#20,335,423
of 22,880,230 outputs
Outputs from Frontiers in Computational Neuroscience
#1,163
of 1,345 outputs
Outputs of similar age
#347,534
of 434,878 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#34
of 42 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,345 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% 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 434,878 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.