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Learning Information Extraction Rules for Semi-Structured and Free Text

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

patent
15 patents

Citations

dimensions_citation
558 Dimensions

Readers on

mendeley
396 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
Title
Learning Information Extraction Rules for Semi-Structured and Free Text
Published in
Machine Learning, February 1999
DOI 10.1023/a:1007562322031
Authors

Stephen Soderland

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 396 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
Germany 5 1%
United Kingdom 5 1%
Spain 4 1%
Austria 3 <1%
Portugal 3 <1%
Italy 2 <1%
Russia 2 <1%
Poland 2 <1%
Other 19 5%
Unknown 342 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 102 26%
Student > Master 88 22%
Researcher 46 12%
Student > Bachelor 35 9%
Student > Doctoral Student 24 6%
Other 74 19%
Unknown 27 7%
Readers by discipline Count As %
Computer Science 292 74%
Business, Management and Accounting 14 4%
Engineering 13 3%
Linguistics 7 2%
Agricultural and Biological Sciences 7 2%
Other 26 7%
Unknown 37 9%
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 29 December 2020.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Machine Learning
#344
of 1,225 outputs
Outputs of similar age
#22,692
of 102,030 outputs
Outputs of similar age from Machine Learning
#4
of 6 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 102,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 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.