| Title |
Deep convolutional neural network based medical image classification for disease diagnosis
|
|---|---|
| Published in |
Journal of Big Data, December 2019
|
| DOI | 10.1186/s40537-019-0276-2 |
| Authors |
Samir S. Yadav, Shivajirao M. Jadhav |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 799 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 799 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 89 | 11% |
| Student > Bachelor | 74 | 9% |
| Student > Ph. D. Student | 72 | 9% |
| Lecturer | 33 | 4% |
| Researcher | 29 | 4% |
| Other | 76 | 10% |
| Unknown | 426 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 176 | 22% |
| Engineering | 89 | 11% |
| Medicine and Dentistry | 16 | 2% |
| Business, Management and Accounting | 10 | 1% |
| Biochemistry, Genetics and Molecular Biology | 9 | 1% |
| Other | 48 | 6% |
| Unknown | 451 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 13 November 2020.
All research outputs
#3,005,262
of 23,198,445 outputs
Outputs from Journal of Big Data
#59
of 347 outputs
Outputs of similar age
#68,665
of 430,806 outputs
Outputs of similar age from Journal of Big Data
#4
of 17 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 82% 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 430,806 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 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.