
This dataset was used for the journal article "Understanding the timeliness of automated data feeds is important for determining their usability for large-scale surveillance of healthcare-associated infections". For a selection of "activity dates", it contains the number of records available centrally at UKHSA on each day after the specified activity date, from a selection of data feeds that could potentially be used for national surveillance of healthcare-associated infections in England. The associated R code is available from https://github.com/oxfordmmm/ukhsa-datafeeds-timeliness-anon
This study was funded by the National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at Oxford University in partnership with the UK Health Security Agency (UKHSA) (NIHR200915), and supported by the NIHR Biomedical Research Centre, Oxford.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
