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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A General Survey on Attention Mechanisms in Deep Learning
|
|---|---|
| Published in |
IEEE Transactions on Knowledge and Data Engineering, November 2021
|
| DOI | 10.1109/tkde.2021.3126456 |
| Authors |
Gianni Brauwers, Flavius Frasincar |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| United States | 1 | 7% |
| India | 1 | 7% |
| Israel | 1 | 7% |
| Unknown | 8 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 79% |
| Scientists | 2 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 145 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 12% |
| Student > Master | 11 | 8% |
| Unspecified | 7 | 5% |
| Student > Bachelor | 7 | 5% |
| Researcher | 5 | 3% |
| Other | 12 | 8% |
| Unknown | 85 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 22% |
| Engineering | 14 | 10% |
| Unspecified | 7 | 5% |
| Agricultural and Biological Sciences | 2 | 1% |
| Biochemistry, Genetics and Molecular Biology | 2 | 1% |
| Other | 5 | 3% |
| Unknown | 83 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 04 June 2023.
All research outputs
#5,576,991
of 25,830,005 outputs
Outputs from IEEE Transactions on Knowledge and Data Engineering
#177
of 2,390 outputs
Outputs of similar age
#116,016
of 443,719 outputs
Outputs of similar age from IEEE Transactions on Knowledge and Data Engineering
#2
of 85 outputs
Altmetric has tracked 25,830,005 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,390 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 85% 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 443,719 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 73% of its contemporaries.
We're also able to compare this research output to 85 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 97% of its contemporaries.