| Title |
Using mobile money data and call detail records to explore the risks of urban migration in Tanzania
|
|---|---|
| Published in |
EPJ Data Science, May 2022
|
| DOI | 10.1140/epjds/s13688-022-00340-y |
| Pubmed ID | |
| Authors |
Rosa Lavelle-Hill, John Harvey, Gavin Smith, Anjali Mazumder, Madeleine Ellis, Kelefa Mwantimwa, James Goulding |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| United Kingdom | 2 | 18% |
| Chile | 1 | 9% |
| France | 1 | 9% |
| Denmark | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 18 | 69% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 2 | 8% |
| Arts and Humanities | 1 | 4% |
| Environmental Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 18 | 69% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 2022.
All research outputs
#4,086,813
of 23,479,361 outputs
Outputs from EPJ Data Science
#257
of 384 outputs
Outputs of similar age
#88,605
of 442,498 outputs
Outputs of similar age from EPJ Data Science
#6
of 18 outputs
Altmetric has tracked 23,479,361 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 33rd percentile – i.e., 33% 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 442,498 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 79% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.