- Article metrics
- Last updated: Wed, 15 Oct 2025 8:03:38 Z
Machine learning shows a limit to rain-snow partitioning accuracy when using near-surface meteorology
Access & Citations
-
- 7564
- Article Accesses
-
- 4
- Citations
Citation counts are provided by Dimensions and depend on their data availability. Counts will update daily, once available.
Online attention
- 1 tweeters
- 2 blogs
- 9 news outlets
- 19 Mendeley
This article is in the 97th percentile (ranked 8,189th) of the 326,408 tracked articles of a similar age in all journals and the 90th percentile (ranked 243rd) of the 2,470 tracked articles of a similar age in Nature Communications
View more on Altmetric
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
Mentions in news and blogs
-
Rain-Snow Blur: Testing Meteorological Limits
Mirage News -
Blurring the line between rain and snow: The limits of meteorological classification
Smart Water Magazine -
Lluvia y nieve: ¿dónde se trazan los límites?
Noticias de la tierra -
News story from The Independent on Sunday 06 April 2025
The Independent -
When Big Data Isn’t Enough: The Challenge of Rain-Snow Partitioning
Springer Nature Research Communities
This list highlights individual mainstream news articles and blogs that cite the article. Not all news and blogs link to articles in a way that Altmetric can pick up, so they are not representative of all media. Altmetric are responsible for the curation of this list and provide updates hourly.