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Cross-linguistic patterns in the acquisition of quantifiers

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, August 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
14 news outlets
blogs
3 blogs
twitter
19 X users
facebook
1 Facebook page

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
136 Mendeley
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1 CiteULike
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Title
Cross-linguistic patterns in the acquisition of quantifiers
Published in
Proceedings of the National Academy of Sciences of the United States of America, August 2016
DOI 10.1073/pnas.1601341113
Pubmed ID
Authors

Napoleon Katsos, Chris Cummins, Maria-José Ezeizabarrena, Anna Gavarró, Jelena Kuvač Kraljević, Gordana Hrzica, Kleanthes K. Grohmann, Athina Skordi, Kristine Jensen de López, Lone Sundahl, Angeliek van Hout, Bart Hollebrandse, Jessica Overweg, Myrthe Faber, Margreet van Koert, Nafsika Smith, Maigi Vija, Sirli Zupping, Sari Kunnari, Tiffany Morisseau, Manana Rusieshvili, Kazuko Yatsushiro, Anja Fengler, Spyridoula Varlokosta, Katerina Konstantzou, Shira Farby, Maria Teresa Guasti, Mirta Vernice, Reiko Okabe, Miwa Isobe, Peter Crosthwaite, Yoonjee Hong, Ingrida Balčiūnienė, Yanti Marina Ahmad Nizar, Helen Grech, Daniela Gatt, Win Nee Cheong, Arve Asbjørnsen, Janne von Koss Torkildsen, Ewa Haman, Aneta Miękisz, Natalia Gagarina, Julia Puzanova, Darinka Anđelković, Maja Savić, Smiljana Jošić, Daniela Slančová, Svetlana Kapalková, Tania Barberán, Duygu Özge, Saima Hassan, Cecilia Yuet Hung Chan, Tomoya Okubo, Heather van der Lely, Uli Sauerland, Ira Noveck

Abstract

Learners of most languages are faced with the task of acquiring words to talk about number and quantity. Much is known about the order of acquisition of number words as well as the cognitive and perceptual systems and cultural practices that shape it. Substantially less is known about the acquisition of quantifiers. Here, we consider the extent to which systems and practices that support number word acquisition can be applied to quantifier acquisition and conclude that the two domains are largely distinct in this respect. Consequently, we hypothesize that the acquisition of quantifiers is constrained by a set of factors related to each quantifier's specific meaning. We investigate competence with the expressions for "all," "none," "some," "some…not," and "most" in 31 languages, representing 11 language types, by testing 768 5-y-old children and 536 adults. We found a cross-linguistically similar order of acquisition of quantifiers, explicable in terms of four factors relating to their meaning and use. In addition, exploratory analyses reveal that language- and learner-specific factors, such as negative concord and gender, are significant predictors of variation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 2 1%
France 2 1%
Italy 1 <1%
Unknown 129 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 19%
Researcher 16 12%
Student > Master 13 10%
Student > Bachelor 13 10%
Student > Doctoral Student 12 9%
Other 27 20%
Unknown 29 21%
Readers by discipline Count As %
Linguistics 44 32%
Psychology 30 22%
Neuroscience 7 5%
Social Sciences 5 4%
Medicine and Dentistry 3 2%
Other 11 8%
Unknown 36 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 131. 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 24 October 2016.
All research outputs
#311,933
of 25,165,154 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#5,702
of 102,480 outputs
Outputs of similar age
#6,391
of 376,345 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#104
of 873 outputs
Altmetric has tracked 25,165,154 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 102,480 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.2. This one has done particularly well, scoring higher than 94% 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 376,345 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 873 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.