| Title |
Using passive Wi-Fi for community crowd sensing during the COVID-19 pandemic
|
|---|---|
| Published in |
Journal of Big Data, January 2023
|
| DOI | 10.1186/s40537-022-00675-3 |
| Pubmed ID | |
| Authors |
Miguel Ribeiro, Diogo Teixeira, Pedro Barbosa, Nuno Jardim Nunes |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 1 | 7% |
| Librarian | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 8 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Computer Science | 1 | 7% |
| Earth and Planetary Sciences | 1 | 7% |
| Social Sciences | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 8 | 57% |
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 18 January 2023.
All research outputs
#15,220,117
of 25,443,857 outputs
Outputs from Journal of Big Data
#195
of 392 outputs
Outputs of similar age
#204,116
of 473,063 outputs
Outputs of similar age from Journal of Big Data
#8
of 12 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. 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 473,063 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.