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An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition

Overview of attention for article published in Machine Learning, April 1999
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
39 Mendeley
Title
An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition
Published in
Machine Learning, April 1999
DOI 10.1023/a:1007504102006
Authors

Geoffrey I. Webb, Jason Wells, Zijian Zheng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Turkey 1 3%
Italy 1 3%
Czechia 1 3%
Austria 1 3%
China 1 3%
Slovakia 1 3%
Unknown 31 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 31%
Student > Master 6 15%
Student > Doctoral Student 5 13%
Researcher 5 13%
Professor 2 5%
Other 6 15%
Unknown 3 8%
Readers by discipline Count As %
Computer Science 27 69%
Engineering 3 8%
Business, Management and Accounting 1 3%
Economics, Econometrics and Finance 1 3%
Environmental Science 1 3%
Other 0 0%
Unknown 6 15%
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 21 May 2017.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Machine Learning
#344
of 1,225 outputs
Outputs of similar age
#11,943
of 37,037 outputs
Outputs of similar age from Machine Learning
#2
of 3 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 56% 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 37,037 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 3 others from the same source and published within six weeks on either side of this one.