| Title |
A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning
|
|---|---|
| Published in |
Circuits, Systems, and Signal Processing, September 2019
|
| DOI | 10.1007/s00034-019-01246-3 |
| Authors |
Arshia Rehman, Saeeda Naz, Muhammad Imran Razzak, Faiza Akram, Muhammad Imran |
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 359 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 359 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 10% |
| Student > Master | 31 | 9% |
| Researcher | 25 | 7% |
| Student > Bachelor | 20 | 6% |
| Lecturer | 13 | 4% |
| Other | 45 | 13% |
| Unknown | 189 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 101 | 28% |
| Engineering | 36 | 10% |
| Unspecified | 5 | 1% |
| Medicine and Dentistry | 3 | <1% |
| Agricultural and Biological Sciences | 2 | <1% |
| Other | 13 | 4% |
| Unknown | 199 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 September 2019.
All research outputs
#15,581,198
of 23,163,378 outputs
Outputs from Circuits, Systems, and Signal Processing
#119
of 596 outputs
Outputs of similar age
#210,457
of 340,817 outputs
Outputs of similar age from Circuits, Systems, and Signal Processing
#6
of 7 outputs
Altmetric has tracked 23,163,378 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 596 research outputs from this source. They receive a mean Attention Score of 1.3. This one has gotten more attention than average, scoring higher than 52% 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 340,817 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.