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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficiently counting complex multilayer temporal motifs in large-scale networks
|
|---|---|
| Published in |
Computational Social Networks, September 2019
|
| DOI | 10.1186/s40649-019-0068-z |
| Authors |
Hanjo D. Boekhout, Walter A. Kosters, Frank W. Takes |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 33% |
| France | 1 | 33% |
| Netherlands | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 31% |
| Other | 1 | 8% |
| Lecturer | 1 | 8% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 3 | 23% |
| Unknown | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 31% |
| Engineering | 2 | 15% |
| Social Sciences | 2 | 15% |
| Business, Management and Accounting | 1 | 8% |
| Mathematics | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 23% |
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 06 October 2019.
All research outputs
#13,657,923
of 23,166,665 outputs
Outputs from Computational Social Networks
#18
of 40 outputs
Outputs of similar age
#170,543
of 340,438 outputs
Outputs of similar age from Computational Social Networks
#1
of 1 outputs
Altmetric has tracked 23,166,665 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 40 research outputs from this source. They receive a mean Attention Score of 3.9. This one scored the same or higher as 22 of them.
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 340,438 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 1 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