Real-Time Forecasting of Online Auctions via Functional K-Nearest Neighbors

Overview of attention for article published in SSRN Electronic Journal

Altmetric Badge

Mentioned by

twitter: 1 X user

You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.

Article details
Title	Real-Time Forecasting of Online Auctions via Functional K-Nearest Neighbors
Published in	SSRN Electronic Journal
DOI	10.2139/ssrn.1432122
Authors	Shu Zhang, Wolfgang Jank, Galit Shmueli

View on publisher site Alert me about new mentions

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Geographical breakdown
Country	Count	As %
Mexico	1	100%

Demographic breakdown

Type
Type	Count	As %
Members of the public	1	100%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 March 2012.

All research outputs

#27,504,387

of 34,151,039 outputs

Outputs from SSRN Electronic Journal

#52,001

of 61,082 outputs

Altmetric has tracked 34,151,039 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.

So far Altmetric has tracked 61,082 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.