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X Demographics
Mendeley readers
Attention Score in Context
Title |
Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming
|
---|---|
Published in |
IEEE Transactions on Neural Networks and Learning Systems, July 2024
|
DOI | 10.1109/tnnls.2022.3216630 |
Pubmed ID | |
Authors |
Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 8% |
Korea, Republic of | 1 | 4% |
Czechia | 1 | 4% |
Finland | 1 | 4% |
Germany | 1 | 4% |
Unknown | 18 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 71% |
Scientists | 7 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 7% |
Other | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Student > Ph. D. Student | 1 | 7% |
Researcher | 1 | 7% |
Other | 1 | 7% |
Unknown | 8 | 57% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 29% |
Linguistics | 1 | 7% |
Unspecified | 1 | 7% |
Unknown | 8 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 06 April 2022.
All research outputs
#3,190,025
of 26,525,642 outputs
Outputs from IEEE Transactions on Neural Networks and Learning Systems
#96
of 3,451 outputs
Outputs of similar age
#33,953
of 288,159 outputs
Outputs of similar age from IEEE Transactions on Neural Networks and Learning Systems
#2
of 41 outputs
Altmetric has tracked 26,525,642 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,451 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 97% 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 288,159 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 41 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.