Insights from videochat research in the context of Covid-19
Bibliographic Data
| ID | 15326527 |
|---|---|
| Authors | Danielle Lottridge (0000-0002-5541-4425, University of Auckland, corresponding author) |
| Year | 2020 |
| Volume | 27 |
| Issue | 4 |
| Pages | 9-10 |
| Publication date | 2020-07-09 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | interactions (JOURNAL) |
| Journal identifiers | ISSN: 1072-5520 • E-ISSN: 1558-3449 |
| Publisher | Association for Computing Machinery (PUBLISHER • US) |
| DOI | 10.1145/3406104 |
| OpenAlex | W3046581220 |
| Language | EN |
| Citations received | 1 |
| References cited | 2 |
No abstract available
2019-20 coronavirus outbreak · Archaeology · Context (archaeology · Coronavirus disease 2019 (COVID-19 · Data science · Geography · Outbreak · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · AI in Service Interactions · Computer Science · Generational Differences and Trends · Medicine · Virtual Reality Applications and Impacts · Virology
| Citations per year | 0.25 |
|---|---|
| Citation span | 2022 - 2022 (1) |
| Highly cited | No |