| Title |
Intrusion detection and Big Heterogeneous Data: a Survey
|
|---|---|
| Published in |
Journal of Big Data, February 2015
|
| DOI | 10.1186/s40537-015-0013-4 |
| Authors |
Richard Zuech, Taghi M Khoshgoftaar, Randall Wald |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 27% |
| Argentina | 1 | 9% |
| Romania | 1 | 9% |
| France | 1 | 9% |
| Australia | 1 | 9% |
| Nigeria | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 504 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| United Kingdom | 2 | <1% |
| Turkey | 1 | <1% |
| Pakistan | 1 | <1% |
| Czechia | 1 | <1% |
| Italy | 1 | <1% |
| Romania | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 494 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 120 | 24% |
| Student > Ph. D. Student | 106 | 21% |
| Researcher | 49 | 10% |
| Student > Bachelor | 35 | 7% |
| Student > Doctoral Student | 23 | 5% |
| Other | 83 | 16% |
| Unknown | 88 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 301 | 60% |
| Engineering | 51 | 10% |
| Business, Management and Accounting | 14 | 3% |
| Biochemistry, Genetics and Molecular Biology | 4 | <1% |
| Decision Sciences | 4 | <1% |
| Other | 26 | 5% |
| Unknown | 104 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 August 2019.
All research outputs
#2,752,834
of 22,793,427 outputs
Outputs from Journal of Big Data
#55
of 334 outputs
Outputs of similar age
#35,810
of 255,577 outputs
Outputs of similar age from Journal of Big Data
#2
of 3 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 334 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. 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 255,577 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.