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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Identifying Extension-Based Ad Injection via Fine-Grained Web Content Provenance
|
|---|---|
| Chapter number | 19 |
| Book title |
Research in Attacks, Intrusions, and Defenses
|
| Published in |
Lecture notes in computer science, September 2016
|
| DOI | 10.1007/978-3-319-45719-2_19 |
| Book ISBNs |
978-3-31-945718-5, 978-3-31-945719-2
|
| Authors |
Sajjad Arshad, Amin Kharraz, William Robertson, Arshad, Sajjad, Kharraz, Amin, Robertson, William |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 21% |
| Student > Doctoral Student | 2 | 14% |
| Student > Bachelor | 2 | 14% |
| Student > Master | 2 | 14% |
| Other | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 57% |
| Economics, Econometrics and Finance | 1 | 7% |
| Physics and Astronomy | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 3 | 21% |
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 19 May 2020.
All research outputs
#7,782,070
of 25,382,440 outputs
Outputs from Lecture notes in computer science
#2,280
of 8,161 outputs
Outputs of similar age
#112,424
of 345,298 outputs
Outputs of similar age from Lecture notes in computer science
#135
of 499 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,161 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 71% 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 345,298 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 67% of its contemporaries.
We're also able to compare this research output to 499 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 72% of its contemporaries.