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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Phoenix: DGA-Based Botnet Tracking and Intelligence
|
|---|---|
| Chapter number | 11 |
| Book title |
Detection of Intrusions and Malware, and Vulnerability Assessment
|
| Published in |
Lecture notes in computer science, July 2014
|
| DOI | 10.1007/978-3-319-08509-8_11 |
| Book ISBNs |
978-3-31-908508-1, 978-3-31-908509-8
|
| Authors |
Stefano Schiavoni, Federico Maggi, Lorenzo Cavallaro, Stefano Zanero |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Czechia | 1 | 1% |
| Unknown | 98 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 30% |
| Researcher | 14 | 14% |
| Student > Master | 13 | 13% |
| Student > Bachelor | 6 | 6% |
| Other | 4 | 4% |
| Other | 7 | 7% |
| Unknown | 26 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 58 | 58% |
| Engineering | 6 | 6% |
| Philosophy | 1 | 1% |
| Economics, Econometrics and Finance | 1 | 1% |
| Arts and Humanities | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 31 | 31% |
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 22 September 2017.
All research outputs
#14,197,510
of 22,758,248 outputs
Outputs from Lecture notes in computer science
#4,307
of 8,126 outputs
Outputs of similar age
#117,670
of 225,812 outputs
Outputs of similar age from Lecture notes in computer science
#59
of 164 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 44th percentile – i.e., 44% 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 225,812 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 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 62% of its contemporaries.