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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Unified Attribute-Based Access Control Model Covering DAC, MAC and RBAC
|
|---|---|
| Chapter number | 4 |
| Book title |
Data and Applications Security and Privacy XXVI
|
| Published in |
Lecture notes in computer science, January 2012
|
| DOI | 10.1007/978-3-642-31540-4_4 |
| Book ISBNs |
978-3-64-231539-8, 978-3-64-231540-4
|
| Authors |
Xin Jin, Ram Krishnan, Ravi Sandhu |
| Editors |
Nora Cuppens-Boulahia, Frédéric Cuppens, Joaquin Garcia-Alfaro |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 1% |
| Canada | 2 | 1% |
| Brazil | 2 | 1% |
| Germany | 1 | <1% |
| Ghana | 1 | <1% |
| Indonesia | 1 | <1% |
| Malaysia | 1 | <1% |
| Netherlands | 1 | <1% |
| China | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 147 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 25% |
| Student > Master | 33 | 20% |
| Researcher | 16 | 10% |
| Student > Bachelor | 14 | 9% |
| Lecturer | 7 | 4% |
| Other | 23 | 14% |
| Unknown | 27 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 107 | 66% |
| Engineering | 10 | 6% |
| Business, Management and Accounting | 3 | 2% |
| Decision Sciences | 2 | 1% |
| Medicine and Dentistry | 2 | 1% |
| Other | 1 | <1% |
| Unknown | 36 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 2016.
All research outputs
#16,404,473
of 24,167,226 outputs
Outputs from Lecture notes in computer science
#4,699
of 8,182 outputs
Outputs of similar age
#170,719
of 251,186 outputs
Outputs of similar age from Lecture notes in computer science
#268
of 488 outputs
Altmetric has tracked 24,167,226 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,182 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 27th percentile – i.e., 27% 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 251,186 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 488 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.