| Title |
The impact of digital contact tracing on the SARS-CoV-2 pandemic—a comprehensive modelling study
|
|---|---|
| Published in |
EPJ Data Science, July 2021
|
| DOI | 10.1140/epjds/s13688-021-00290-x |
| Pubmed ID | |
| Authors |
Tina R. Pollmann, Stefan Schönert, Johannes Müller, Julia Pollmann, Elisa Resconi, Christoph Wiesinger, Christian Haack, Lolian Shtembari, Andrea Turcati, Birgit Neumair, Stephan Meighen-Berger, Giovanni Zattera, Matthias Neumair, Uljana Apel, Augustine Okolie |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Master | 6 | 12% |
| Other | 3 | 6% |
| Student > Bachelor | 3 | 6% |
| Student > Ph. D. Student | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 21 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 14% |
| Nursing and Health Professions | 7 | 14% |
| Computer Science | 2 | 4% |
| Economics, Econometrics and Finance | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 24 | 49% |
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 21 July 2021.
All research outputs
#14,476,373
of 24,294,722 outputs
Outputs from EPJ Data Science
#360
of 400 outputs
Outputs of similar age
#201,306
of 427,448 outputs
Outputs of similar age from EPJ Data Science
#13
of 15 outputs
Altmetric has tracked 24,294,722 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 400 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.2. This one is in the 8th percentile – i.e., 8% 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 427,448 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 50% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.