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Ethnicity and Population Structure in Personal Naming Networks

Overview of attention for article published in PLOS ONE, September 2011
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
11 X users

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
96 Mendeley
citeulike
1 CiteULike
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Title
Ethnicity and Population Structure in Personal Naming Networks
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0022943
Pubmed ID
Authors

Pablo Mateos, Paul A. Longley, David O'Sullivan

Abstract

Personal naming practices exist in all human groups and are far from random. Rather, they continue to reflect social norms and ethno-cultural customs that have developed over generations. As a consequence, contemporary name frequency distributions retain distinct geographic, social and ethno-cultural patterning that can be exploited to understand population structure in human biology, public health and social science. Previous attempts to detect and delineate such structure in large populations have entailed extensive empirical analysis of naming conventions in different parts of the world without seeking any general or automated methods of population classification by ethno-cultural origin. Here we show how 'naming networks', constructed from forename-surname pairs of a large sample of the contemporary human population in 17 countries, provide a valuable representation of cultural, ethnic and linguistic population structure around the world. This innovative approach enriches and adds value to automated population classification through conventional national data sources such as telephone directories and electoral registers. The method identifies clear social and ethno-cultural clusters in such naming networks that extend far beyond the geographic areas in which particular names originated, and that are preserved even after international migration. Moreover, one of the most striking findings of this approach is that these clusters simply 'emerge' from the aggregation of millions of individual decisions on parental naming practices for their children, without any prior knowledge introduced by the researcher. Our probabilistic approach to community assignment, both at city level as well as at a global scale, helps to reveal the degree of isolation, integration or overlap between human populations in our rapidly globalising world. As such, this work has important implications for research in population genetics, public health, and social science adding new understandings of migration, identity, integration and social interaction across the world.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
United States 2 2%
Portugal 1 1%
Czechia 1 1%
Denmark 1 1%
United Kingdom 1 1%
China 1 1%
Luxembourg 1 1%
Unknown 86 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 28%
Researcher 14 15%
Student > Master 11 11%
Professor > Associate Professor 6 6%
Student > Doctoral Student 5 5%
Other 20 21%
Unknown 13 14%
Readers by discipline Count As %
Social Sciences 24 25%
Computer Science 15 16%
Medicine and Dentistry 6 6%
Agricultural and Biological Sciences 4 4%
Linguistics 4 4%
Other 27 28%
Unknown 16 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 28 June 2022.
All research outputs
#1,133,535
of 25,147,320 outputs
Outputs from PLOS ONE
#14,567
of 218,093 outputs
Outputs of similar age
#4,623
of 130,451 outputs
Outputs of similar age from PLOS ONE
#160
of 2,564 outputs
Altmetric has tracked 25,147,320 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 218,093 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 93% 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 130,451 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 96% of its contemporaries.
We're also able to compare this research output to 2,564 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 93% of its contemporaries.