| Title |
STVG: an evolutionary graph framework for analyzing fast-evolving networks
|
|---|---|
| Published in |
Journal of Big Data, June 2019
|
| DOI | 10.1186/s40537-019-0218-z |
| Authors |
Ikechukwu Maduako, Monica Wachowicz, Trevor Hanson |
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 % |
|---|---|---|
| Italy | 1 | 50% |
| Nigeria | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 28% |
| Professor > Associate Professor | 4 | 14% |
| Student > Ph. D. Student | 3 | 10% |
| Professor | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 34% |
| Engineering | 6 | 21% |
| Business, Management and Accounting | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 3% |
| Chemistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 28% |
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 28 July 2020.
All research outputs
#13,651,493
of 23,150,406 outputs
Outputs from Journal of Big Data
#161
of 346 outputs
Outputs of similar age
#174,857
of 352,212 outputs
Outputs of similar age from Journal of Big Data
#13
of 25 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 49th percentile – i.e., 49% 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 352,212 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.