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Automatic recognition of multi-word terms:. the C-value/NC-value method

Overview of attention for article published in International Journal on Digital Libraries, August 2000
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Mentioned by

patent
5 patents

Citations

dimensions_citation
492 Dimensions

Readers on

mendeley
307 Mendeley
citeulike
19 CiteULike
connotea
1 Connotea
Title
Automatic recognition of multi-word terms:. the C-value/NC-value method
Published in
International Journal on Digital Libraries, August 2000
DOI 10.1007/s007999900023
Authors

Katerina Frantzi, Sophia Ananiadou, Hideki Mima

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 307 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 10 3%
United States 4 1%
Germany 3 <1%
Canada 3 <1%
France 3 <1%
Spain 2 <1%
Italy 1 <1%
Latvia 1 <1%
Brazil 1 <1%
Other 10 3%
Unknown 269 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 81 26%
Researcher 61 20%
Student > Master 50 16%
Professor > Associate Professor 13 4%
Student > Bachelor 13 4%
Other 47 15%
Unknown 42 14%
Readers by discipline Count As %
Computer Science 175 57%
Linguistics 15 5%
Engineering 13 4%
Agricultural and Biological Sciences 12 4%
Social Sciences 11 4%
Other 32 10%
Unknown 49 16%
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 13 December 2022.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from International Journal on Digital Libraries
#144
of 261 outputs
Outputs of similar age
#12,802
of 38,133 outputs
Outputs of similar age from International Journal on Digital Libraries
#1
of 6 outputs
Altmetric has tracked 25,374,917 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 261 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 38,133 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% 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 all of them