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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Survey on deep learning with class imbalance
|
|---|---|
| Published in |
Journal of Big Data, March 2019
|
| DOI | 10.1186/s40537-019-0192-5 |
| Authors |
Justin M. Johnson, Taghi M. Khoshgoftaar |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 2 | 50% |
| Argentina | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,907 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1907 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 314 | 16% |
| Student > Master | 250 | 13% |
| Researcher | 165 | 9% |
| Student > Bachelor | 127 | 7% |
| Student > Doctoral Student | 85 | 4% |
| Other | 237 | 12% |
| Unknown | 729 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 546 | 29% |
| Engineering | 229 | 12% |
| Mathematics | 40 | 2% |
| Medicine and Dentistry | 38 | 2% |
| Biochemistry, Genetics and Molecular Biology | 32 | 2% |
| Other | 225 | 12% |
| Unknown | 797 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 February 2023.
All research outputs
#1,275,497
of 25,349,035 outputs
Outputs from Journal of Big Data
#30
of 384 outputs
Outputs of similar age
#29,112
of 359,268 outputs
Outputs of similar age from Journal of Big Data
#2
of 16 outputs
Altmetric has tracked 25,349,035 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 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done particularly well, scoring higher than 92% 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 359,268 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 91% of its contemporaries.
We're also able to compare this research output to 16 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 93% of its contemporaries.