| Title |
A path-based approach to analyzing the global liner shipping network
|
|---|---|
| Published in |
EPJ Data Science, March 2022
|
| DOI | 10.1140/epjds/s13688-022-00331-z |
| Authors |
Timothy LaRock, Mengqiao Xu, Tina Eliassi-Rad |
X Demographics
The data shown below were collected from the profiles of 19 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 | 5 | 26% |
| Spain | 2 | 11% |
| Italy | 2 | 11% |
| Canada | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 8 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 53% |
| Members of the public | 8 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Master | 3 | 13% |
| Professor > Associate Professor | 3 | 13% |
| Unspecified | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 5 | 21% |
| Engineering | 4 | 17% |
| Unspecified | 2 | 8% |
| Computer Science | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 9 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 07 June 2022.
All research outputs
#3,439,764
of 24,960,237 outputs
Outputs from EPJ Data Science
#243
of 420 outputs
Outputs of similar age
#75,724
of 434,392 outputs
Outputs of similar age from EPJ Data Science
#5
of 23 outputs
Altmetric has tracked 24,960,237 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 420 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.3. This one is in the 42nd percentile – i.e., 42% 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 434,392 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 82% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.