| Title |
Public risk perception and emotion on Twitter during the Covid-19 pandemic
|
|---|---|
| Published in |
Applied Network Science, December 2020
|
| DOI | 10.1007/s41109-020-00334-7 |
| Pubmed ID | |
| Authors |
Joel Dyer, Blas Kolic |
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 | 6 | 24% |
| United States | 3 | 12% |
| Mexico | 3 | 12% |
| Austria | 2 | 8% |
| Brazil | 1 | 4% |
| Spain | 1 | 4% |
| Italy | 1 | 4% |
| France | 1 | 4% |
| Netherlands | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 5 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 60% |
| Scientists | 7 | 28% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 13% |
| Student > Master | 11 | 12% |
| Researcher | 9 | 9% |
| Student > Doctoral Student | 6 | 6% |
| Lecturer | 6 | 6% |
| Other | 19 | 20% |
| Unknown | 32 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 13 | 14% |
| Computer Science | 13 | 14% |
| Engineering | 5 | 5% |
| Arts and Humanities | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 21 | 22% |
| Unknown | 36 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 21 March 2022.
All research outputs
#1,886,521
of 25,834,578 outputs
Outputs from Applied Network Science
#40
of 589 outputs
Outputs of similar age
#50,434
of 529,654 outputs
Outputs of similar age from Applied Network Science
#1
of 21 outputs
Altmetric has tracked 25,834,578 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 589 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 93% 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 529,654 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.