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Network Science in Egyptology

Overview of attention for article published in PLOS ONE, November 2012
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Title
Network Science in Egyptology
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050382
Pubmed ID
Authors

Patrick Coulombe, Clifford Qualls, Robert Kruszynski, Andreas Nerlich, Raffaella Bianucci, Richard Harris, Christine Mermier, Otto Appenzeller

Abstract

Egyptology relies on traditional descriptive methods. Here we show that modern, Internet-based science and statistical methods can be applied to Egyptology. Two four-thousand-year-old sarcophagi in one tomb, one within the other, with skeletal remains of a woman, gave us the opportunity to diagnose a congenital nervous system disorder in the absence of a living nervous system. The sarcophagi were discovered near Thebes, Egypt. They were well preserved and meticulously restored. The skeletal remains suggested that the woman, aged between 50 and 60 years, was Black, possibly of Nubian descent and suffered from syringobulbia, a congenital cyst in the brain stem and upper spinal cord. We employed crowd sourcing, the anonymous responses of 204 Facebook users who performed a matching task of living persons' iris color with iris color of the Udjat eyes, a decoration found on Egyptian sarcophagi, to confirm the ethnicities of the sarcophagus occupants. We used modern fMRI techniques to illustrate the putative extent of her lesion in the brain stem and upper spinal cord deduced from her skeletal remains. We compared, statistically, the right/left ratios, a non-dimensional number, of the orbit height, orbit width, malar height and the infraorbital foramena with the same measures obtained from 32 ancient skulls excavated from the Fayum, North of Thebes. We found that these ratios were significantly different in this skull indicating atrophy of cranial bones on the left. In this instance, Internet science and the use of modern neurologic research tools showed that ancient sarcophagus makers shaped and decorated their wares to fit the ethnicity of the prospective occupants of the sarcophagi. We also showed that, occasionally, human nervous system disease may be recognizable in the absence of a living nervous system.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Germany 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 24%
Student > Ph. D. Student 3 10%
Student > Doctoral Student 3 10%
Professor 3 10%
Student > Bachelor 2 7%
Other 9 31%
Unknown 2 7%
Readers by discipline Count As %
Medicine and Dentistry 10 34%
Arts and Humanities 4 14%
Psychology 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Computer Science 2 7%
Other 3 10%
Unknown 5 17%