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Revealing Word Order: Using Serial Position in Binomials to Predict Properties of the Speaker

Overview of attention for article published in Journal of Psycholinguistic Research, December 2014
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Title
Revealing Word Order: Using Serial Position in Binomials to Predict Properties of the Speaker
Published in
Journal of Psycholinguistic Research, December 2014
DOI 10.1007/s10936-014-9341-3
Pubmed ID
Authors

Rumen Iliev, Anastasia Smirnova

Abstract

Three studies test the link between word order in binomials and psychological and demographic characteristics of a speaker. While linguists have already suggested that psychological, cultural and societal factors are important in choosing word order in binomials, the vast majority of relevant research was focused on general factors and on broadly shared cultural conventions. In contrast, in this work we are interested in what word order can tell us about the particular speaker. More specifically, we test the degree to which word order is affected by factors such as gender, race, geographic location, religion, political orientation, and consumer preferences. Using a variety of methodologies and different data sources, we find converging evidence that word order is linked to a broad set of features associated with the speaker. We discuss the theoretical implications of these findings and the potential to use word order as a tool for analyzing large text corpora and data on the web.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 17%
Student > Bachelor 3 13%
Researcher 3 13%
Professor > Associate Professor 3 13%
Student > Master 3 13%
Other 4 17%
Unknown 4 17%
Readers by discipline Count As %
Psychology 9 38%
Linguistics 4 17%
Business, Management and Accounting 3 13%
Social Sciences 3 13%
Engineering 1 4%
Other 0 0%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 December 2014.
All research outputs
#18,385,510
of 22,772,779 outputs
Outputs from Journal of Psycholinguistic Research
#263
of 353 outputs
Outputs of similar age
#261,380
of 360,895 outputs
Outputs of similar age from Journal of Psycholinguistic Research
#8
of 9 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 353 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 11th percentile – i.e., 11% 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 360,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.