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A universal algorithm for sequential data compression

Overview of attention for article published in IEEE Transactions on Information Theory, May 1977
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 4,215)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
5 news outlets
policy
1 policy source
twitter
3 X users
patent
448 patents
wikipedia
13 Wikipedia pages

Citations

dimensions_citation
3668 Dimensions

Readers on

mendeley
721 Mendeley
citeulike
9 CiteULike
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Title
A universal algorithm for sequential data compression
Published in
IEEE Transactions on Information Theory, May 1977
DOI 10.1109/tit.1977.1055714
Authors

J. Ziv, A. Lempel

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 721 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 2%
Germany 12 2%
United Kingdom 10 1%
France 7 <1%
Spain 7 <1%
Italy 3 <1%
Taiwan 3 <1%
Sweden 2 <1%
Ireland 2 <1%
Other 25 3%
Unknown 634 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 183 25%
Student > Master 115 16%
Researcher 113 16%
Student > Bachelor 47 7%
Professor > Associate Professor 46 6%
Other 133 18%
Unknown 84 12%
Readers by discipline Count As %
Computer Science 320 44%
Engineering 145 20%
Agricultural and Biological Sciences 30 4%
Mathematics 28 4%
Physics and Astronomy 26 4%
Other 65 9%
Unknown 107 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 65. 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 06 August 2024.
All research outputs
#669,722
of 25,837,817 outputs
Outputs from IEEE Transactions on Information Theory
#5
of 4,215 outputs
Outputs of similar age
#23
of 5,023 outputs
Outputs of similar age from IEEE Transactions on Information Theory
#1
of 5 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,215 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 99% 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 5,023 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
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 all of them