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Discrete sequence prediction and its applications

Overview of attention for article published in Machine Learning, April 1994
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Mentioned by

patent
1 patent

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
28 Mendeley
Title
Discrete sequence prediction and its applications
Published in
Machine Learning, April 1994
DOI 10.1007/bf01000408
Authors

Philip Laird, Ronald Saul

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 11%
Germany 1 4%
Switzerland 1 4%
India 1 4%
Italy 1 4%
China 1 4%
Czechia 1 4%
Unknown 19 68%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 36%
Researcher 5 18%
Other 4 14%
Student > Doctoral Student 3 11%
Student > Master 2 7%
Other 3 11%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 22 79%
Engineering 2 7%
Materials Science 1 4%
Social Sciences 1 4%
Unknown 2 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 August 2006.
All research outputs
#7,559,215
of 23,058,939 outputs
Outputs from Machine Learning
#284
of 975 outputs
Outputs of similar age
#6,710
of 23,211 outputs
Outputs of similar age from Machine Learning
#3
of 5 outputs
Altmetric has tracked 23,058,939 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 975 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 23,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.