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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DeepGCNs: Making GCNs Go as Deep as CNNs
|
|---|---|
| Published in |
IEEE Transactions on Software Engineering, June 2023
|
| DOI | 10.1109/tpami.2021.3074057 |
| Pubmed ID | |
| Authors |
Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali Thabet, Bernard Ghanem |
X Demographics
The data shown below were collected from the profiles of 50 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 12 | 24% |
| United States | 2 | 4% |
| Australia | 2 | 4% |
| France | 1 | 2% |
| India | 1 | 2% |
| Turkey | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Unknown | 30 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 47 | 94% |
| Scientists | 3 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 116 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 19% |
| Student > Master | 16 | 14% |
| Researcher | 12 | 10% |
| Student > Doctoral Student | 10 | 9% |
| Student > Bachelor | 10 | 9% |
| Other | 11 | 9% |
| Unknown | 35 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 50 | 43% |
| Engineering | 16 | 14% |
| Physics and Astronomy | 2 | 2% |
| Mathematics | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 7 | 6% |
| Unknown | 37 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 May 2021.
All research outputs
#1,440,499
of 24,620,113 outputs
Outputs from IEEE Transactions on Software Engineering
#81
of 6,119 outputs
Outputs of similar age
#27,561
of 368,595 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#1
of 32 outputs
Altmetric has tracked 24,620,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,119 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 98% 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 368,595 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 32 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 99% of its contemporaries.