| Title |
Tracing patterns and shapes in remittance and migration networks via persistent homology
|
|---|---|
| Published in |
EPJ Data Science, January 2019
|
| DOI | 10.1140/epjds/s13688-018-0179-z |
| Authors |
Paul Samuel P. Ignacio, Isabel K. Darcy |
X Demographics
The data shown below were collected from the profiles of 25 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 Kingdom | 3 | 12% |
| United States | 2 | 8% |
| India | 2 | 8% |
| Spain | 1 | 4% |
| Germany | 1 | 4% |
| Sweden | 1 | 4% |
| Mexico | 1 | 4% |
| Belgium | 1 | 4% |
| Canada | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 52% |
| Scientists | 11 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 28% |
| Researcher | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 5 | 14% |
| Social Sciences | 5 | 14% |
| Computer Science | 4 | 11% |
| Engineering | 2 | 6% |
| Environmental Science | 2 | 6% |
| Other | 8 | 22% |
| Unknown | 10 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 11 January 2019.
All research outputs
#2,653,333
of 24,876,519 outputs
Outputs from EPJ Data Science
#221
of 418 outputs
Outputs of similar age
#59,366
of 446,480 outputs
Outputs of similar age from EPJ Data Science
#7
of 7 outputs
Altmetric has tracked 24,876,519 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one is in the 47th percentile – i.e., 47% 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 446,480 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 86% 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.