| Title |
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
|
|---|---|
| Published in |
Journal of Big Data, March 2021
|
| DOI | 10.1186/s40537-021-00444-8 |
| Pubmed ID | |
| Authors |
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Al-Dujaili, Ye Duan, Omran Al-Shamma, J. Santamaría, Mohammed A. Fadhel, Muthana Al-Amidie, Laith Farhan |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 18% |
| France | 2 | 9% |
| Japan | 1 | 5% |
| Malaysia | 1 | 5% |
| India | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 12 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 77% |
| Scientists | 5 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 5,598 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5598 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 425 | 8% |
| Student > Ph. D. Student | 422 | 8% |
| Student > Bachelor | 367 | 7% |
| Researcher | 215 | 4% |
| Lecturer | 205 | 4% |
| Other | 522 | 9% |
| Unknown | 3442 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 755 | 13% |
| Engineering | 635 | 11% |
| Unspecified | 110 | 2% |
| Biochemistry, Genetics and Molecular Biology | 66 | 1% |
| Agricultural and Biological Sciences | 62 | 1% |
| Other | 444 | 8% |
| Unknown | 3526 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 15 February 2024.
All research outputs
#1,114,061
of 25,837,817 outputs
Outputs from Journal of Big Data
#24
of 397 outputs
Outputs of similar age
#30,817
of 457,401 outputs
Outputs of similar age from Journal of Big Data
#1
of 15 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done particularly well, scoring higher than 93% 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 457,401 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 93% of its contemporaries.
We're also able to compare this research output to 15 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.