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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique
|
|---|---|
| Published in |
Frontiers in Medicine, August 2022
|
| DOI | 10.3389/fmed.2022.924979 |
| Pubmed ID | |
| Authors |
Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Zahid Hasan, Asif Karim, Khan Md. Hasib, Shobhit K. Patel, Mirjam Jonkman, Zubaer Ibna Mannan |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Bangladesh | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Unspecified | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 24 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 21% |
| Unspecified | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Engineering | 2 | 5% |
| Unknown | 24 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 September 2022.
All research outputs
#15,654,625
of 23,877,717 outputs
Outputs from Frontiers in Medicine
#3,078
of 6,302 outputs
Outputs of similar age
#206,475
of 388,395 outputs
Outputs of similar age from Frontiers in Medicine
#225
of 512 outputs
Altmetric has tracked 23,877,717 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,302 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 388,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 512 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.