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Twitter Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Malware Squid: A Novel IoT Malware Traffic Analysis Framework Using Convolutional Neural Network and Binary Visualisation
|
|---|---|
| Chapter number | 6 |
| Book title |
Internet of Things, Smart Spaces, and Next Generation Networks and Systems
|
| Published in |
arXiv, August 2019
|
| DOI | 10.1007/978-3-030-30859-9_6 |
| Book ISBNs |
978-3-03-030858-2, 978-3-03-030859-9
|
| Authors |
Robert Shire, Stavros Shiaeles, Keltoum Bendiab, Bogdan Ghita, Nicholas Kolokotronis, Aimilia Panagiotou, Shire, Robert, Shiaeles, Stavros, Bendiab, Keltoum, Ghita, Bogdan, Kolokotronis, Nicholas |
Twitter Demographics
The data shown below were collected from the profiles of 10 tweeters 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 | 10% |
| Portugal | 1 | 10% |
| India | 1 | 10% |
| Australia | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 11% |
| Student > Bachelor | 3 | 11% |
| Lecturer | 2 | 7% |
| Researcher | 2 | 7% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 15 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 37% |
| Engineering | 1 | 4% |
| Unknown | 16 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 09 September 2021.
All research outputs
#7,137,167
of 23,310,485 outputs
Outputs from arXiv
#154,226
of 961,048 outputs
Outputs of similar age
#124,745
of 340,687 outputs
Outputs of similar age from arXiv
#5,620
of 27,945 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 961,048 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 340,687 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 27,945 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.