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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification
|
|---|---|
| Published in |
Frontiers in Neurorobotics, November 2021
|
| DOI | 10.3389/fnbot.2021.775688 |
| Pubmed ID | |
| Authors |
Shuhao Shi, Kai Qiao, Shuai Yang, Linyuan Wang, Jian Chen, Bin Yan |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 9% |
| United States | 1 | 9% |
| Netherlands | 1 | 9% |
| Japan | 1 | 9% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 3 | 27% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Doctoral Student | 2 | 8% |
| Lecturer | 1 | 4% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 12 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 29% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Decision Sciences | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 14 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 10 May 2022.
All research outputs
#7,005,857
of 24,998,746 outputs
Outputs from Frontiers in Neurorobotics
#164
of 1,008 outputs
Outputs of similar age
#147,174
of 515,514 outputs
Outputs of similar age from Frontiers in Neurorobotics
#7
of 43 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,008 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 83% 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 515,514 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.