| Title |
Worldlex: Twitter and blog word frequencies for 66 languages
|
|---|---|
| Published in |
Behavior Research Methods, July 2015
|
| DOI | 10.3758/s13428-015-0621-0 |
| Pubmed ID | |
| Authors |
Manuel Gimenes, Boris New |
| Abstract |
Lexical frequency is one of the strongest predictors of word processing time. The frequencies are often calculated from book-based corpora, or more recently from subtitle-based corpora. We present new frequencies based on Twitter, blog posts, or newspapers for 66 languages. We show that these frequencies predict lexical decision reaction times similar to the already existing frequencies, or even better than them. These new frequencies are freely available and may be downloaded from http://worldlex.lexique.org . |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 22% |
| Australia | 2 | 11% |
| Canada | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 10 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 61% |
| Scientists | 5 | 28% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 66 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 19% |
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 10 | 15% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 17 | 25% |
| Psychology | 16 | 24% |
| Computer Science | 6 | 9% |
| Arts and Humanities | 3 | 4% |
| Mathematics | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 21 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 22 July 2019.
All research outputs
#4,317,156
of 25,632,496 outputs
Outputs from Behavior Research Methods
#526
of 2,560 outputs
Outputs of similar age
#50,570
of 276,888 outputs
Outputs of similar age from Behavior Research Methods
#7
of 33 outputs
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We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.