| Title |
Towards explainable deep neural networks (xDNN)
|
|---|---|
| Published in |
Neural Networks, July 2020
|
| DOI | 10.1016/j.neunet.2020.07.010 |
| Pubmed ID | |
| Authors |
Plamen Angelov, Eduardo Soares |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| Germany | 1 | 33% |
| Netherlands | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 298 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 15% |
| Student > Master | 44 | 15% |
| Researcher | 28 | 9% |
| Student > Bachelor | 18 | 6% |
| Student > Doctoral Student | 13 | 4% |
| Other | 44 | 15% |
| Unknown | 105 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 79 | 27% |
| Engineering | 33 | 11% |
| Medicine and Dentistry | 10 | 3% |
| Mathematics | 6 | 2% |
| Business, Management and Accounting | 5 | 2% |
| Other | 38 | 13% |
| Unknown | 127 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 19 November 2023.
All research outputs
#2,616,307
of 25,387,668 outputs
Outputs from Neural Networks
#89
of 1,792 outputs
Outputs of similar age
#70,371
of 430,310 outputs
Outputs of similar age from Neural Networks
#5
of 29 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,792 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 94% 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 430,310 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 83% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.