| Title |
Generic anomalous vertices detection utilizing a link prediction algorithm
|
|---|---|
| Published in |
Social Network Analysis and Mining, April 2018
|
| DOI | 10.1007/s13278-018-0503-4 |
| Authors |
Dima Kagan, Yuval Elovichi, Michael Fire |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Israel | 1 | 25% |
| Brazil | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 16% |
| Researcher | 6 | 12% |
| Student > Ph. D. Student | 5 | 10% |
| Other | 4 | 8% |
| Lecturer | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 18 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 35% |
| Engineering | 5 | 10% |
| Social Sciences | 3 | 6% |
| Mathematics | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 20 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 199. 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 21 October 2021.
All research outputs
#165,804
of 23,043,346 outputs
Outputs from Social Network Analysis and Mining
#2
of 318 outputs
Outputs of similar age
#4,367
of 329,683 outputs
Outputs of similar age from Social Network Analysis and Mining
#1
of 7 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 318 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 99% 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 329,683 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them