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Keywords and Co-Occurrence Patterns in the Voynich Manuscript: An Information-Theoretic Analysis

Overview of attention for article published in PLOS ONE, June 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
18 news outlets
blogs
7 blogs
twitter
134 X users
facebook
29 Facebook pages
wikipedia
7 Wikipedia pages
googleplus
20 Google+ users
reddit
3 Redditors
q&a
1 Q&A thread

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
94 Mendeley
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Title
Keywords and Co-Occurrence Patterns in the Voynich Manuscript: An Information-Theoretic Analysis
Published in
PLOS ONE, June 2013
DOI 10.1371/journal.pone.0066344
Pubmed ID
Authors

Marcelo A. Montemurro, Damián H. Zanette

Abstract

The Voynich manuscript has remained so far as a mystery for linguists and cryptologists. While the text written on medieval parchment -using an unknown script system- shows basic statistical patterns that bear resemblance to those from real languages, there are features that suggested to some researches that the manuscript was a forgery intended as a hoax. Here we analyse the long-range structure of the manuscript using methods from information theory. We show that the Voynich manuscript presents a complex organization in the distribution of words that is compatible with those found in real language sequences. We are also able to extract some of the most significant semantic word-networks in the text. These results together with some previously known statistical features of the Voynich manuscript, give support to the presence of a genuine message inside the book.

X Demographics

X Demographics

The data shown below were collected from the profiles of 134 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 5%
United Kingdom 3 3%
Brazil 2 2%
Russia 2 2%
United States 2 2%
Belarus 1 1%
France 1 1%
Luxembourg 1 1%
Unknown 77 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 21%
Student > Ph. D. Student 19 20%
Student > Master 12 13%
Other 7 7%
Professor 6 6%
Other 21 22%
Unknown 9 10%
Readers by discipline Count As %
Computer Science 19 20%
Agricultural and Biological Sciences 14 15%
Physics and Astronomy 12 13%
Linguistics 7 7%
Social Sciences 6 6%
Other 23 24%
Unknown 13 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 349. 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 16 December 2022.
All research outputs
#95,578
of 25,905,864 outputs
Outputs from PLOS ONE
#1,544
of 225,916 outputs
Outputs of similar age
#546
of 210,542 outputs
Outputs of similar age from PLOS ONE
#31
of 4,727 outputs
Altmetric has tracked 25,905,864 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,916 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. 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 210,542 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 99% of its contemporaries.
We're also able to compare this research output to 4,727 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.