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An Integrated Approach to the Taxonomic Identification of Prehistoric Shell Ornaments

Overview of attention for article published in PLOS ONE, June 2014
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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)

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4 news outlets
blogs
1 blog
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2 X users
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1 Facebook page

Citations

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17 Dimensions

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40 Mendeley
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Title
An Integrated Approach to the Taxonomic Identification of Prehistoric Shell Ornaments
Published in
PLOS ONE, June 2014
DOI 10.1371/journal.pone.0099839
Pubmed ID
Authors

Beatrice Demarchi, Sonia O'Connor, Andre de Lima Ponzoni, Raquel de Almeida Rocha Ponzoni, Alison Sheridan, Kirsty Penkman, Y. Hancock, Julie Wilson

Abstract

Shell beads appear to have been one of the earliest examples of personal adornments. Marine shells identified far from the shore evidence long-distance transport and imply networks of exchange and negotiation. However, worked beads lose taxonomic clues to identification, and this may be compounded by taphonomic alteration. Consequently, the significance of this key early artefact may be underestimated. We report the use of bulk amino acid composition of the stable intra-crystalline proteins preserved in shell biominerals and the application of pattern recognition methods to a large dataset (777 samples) to demonstrate that taxonomic identification can be achieved at genus level. Amino acid analyses are fast (<2 hours per sample) and micro-destructive (sample size <2 mg). Their integration with non-destructive techniques provides a valuable and affordable tool, which can be used by archaeologists and museum curators to gain insight into early exploitation of natural resources by humans. Here we combine amino acid analyses, macro- and microstructural observations (by light microscopy and scanning electron microscopy) and Raman spectroscopy to try to identify the raw material used for beads discovered at the Early Bronze Age site of Great Cornard (UK). Our results show that at least two shell taxa were used and we hypothesise that these were sourced locally.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 3%
France 1 3%
Belgium 1 3%
Australia 1 3%
Unknown 36 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 25%
Researcher 8 20%
Student > Ph. D. Student 5 13%
Lecturer > Senior Lecturer 2 5%
Student > Postgraduate 2 5%
Other 8 20%
Unknown 5 13%
Readers by discipline Count As %
Arts and Humanities 8 20%
Social Sciences 8 20%
Chemistry 7 18%
Earth and Planetary Sciences 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 6 15%
Unknown 6 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 September 2015.
All research outputs
#1,025,792
of 25,791,949 outputs
Outputs from PLOS ONE
#13,121
of 224,877 outputs
Outputs of similar age
#9,670
of 243,597 outputs
Outputs of similar age from PLOS ONE
#288
of 4,481 outputs
Altmetric has tracked 25,791,949 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,877 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. 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 243,597 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 4,481 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.