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Mendeley readers
Attention Score in Context
| Title |
A Multilayer Deep Learning Approach for Malware Classification in 5G-Enabled IIoT
|
|---|---|
| Published in |
IEEE Transactions on Industrial Informatics, September 2022
|
| DOI | 10.1109/tii.2022.3205366 |
| Authors |
Imran Ahmed, Marco Anisetti, Awais Ahmad, Gwanggil Jeon |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 10% |
| Researcher | 2 | 6% |
| Student > Master | 2 | 6% |
| Unknown | 24 | 77% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 16% |
| Engineering | 2 | 6% |
| Social Sciences | 1 | 3% |
| Unknown | 23 | 74% |
Attention Score in Context
This research output has an Altmetric Attention Score of 119. 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 31 December 2022.
All research outputs
#349,590
of 25,392,582 outputs
Outputs from IEEE Transactions on Industrial Informatics
#2
of 874 outputs
Outputs of similar age
#9,395
of 431,407 outputs
Outputs of similar age from IEEE Transactions on Industrial Informatics
#1
of 13 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 874 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 431,407 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 97% of its contemporaries.
We're also able to compare this research output to 13 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 92% of its contemporaries.