| Title |
Big data insight on global mobility during the Covid-19 pandemic lockdown
|
|---|---|
| Published in |
Journal of Big Data, June 2021
|
| DOI | 10.1186/s40537-021-00474-2 |
| Pubmed ID | |
| Authors |
Adam Sadowski, Zbigniew Galar, Robert Walasek, Grzegorz Zimon, Per Engelseth |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Thailand | 2 | 40% |
| Poland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 16% |
| Professor | 7 | 8% |
| Student > Ph. D. Student | 6 | 7% |
| Student > Doctoral Student | 5 | 6% |
| Student > Bachelor | 4 | 4% |
| Other | 13 | 15% |
| Unknown | 40 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 11% |
| Business, Management and Accounting | 7 | 8% |
| Engineering | 7 | 8% |
| Social Sciences | 4 | 4% |
| Economics, Econometrics and Finance | 3 | 3% |
| Other | 17 | 19% |
| Unknown | 41 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 19 July 2022.
All research outputs
#4,053,962
of 25,090,809 outputs
Outputs from Journal of Big Data
#74
of 377 outputs
Outputs of similar age
#90,009
of 439,884 outputs
Outputs of similar age from Journal of Big Data
#4
of 17 outputs
Altmetric has tracked 25,090,809 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 80% of its peers.
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 439,884 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 17 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.