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Dinosaur Census Reveals Abundant Tyrannosaurus and Rare Ontogenetic Stages in the Upper Cretaceous Hell Creek Formation (Maastrichtian), Montana, USA

Overview of attention for article published in PLOS ONE, February 2011
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Title
Dinosaur Census Reveals Abundant Tyrannosaurus and Rare Ontogenetic Stages in the Upper Cretaceous Hell Creek Formation (Maastrichtian), Montana, USA
Published in
PLOS ONE, February 2011
DOI 10.1371/journal.pone.0016574
Pubmed ID
Authors

John R. Horner, Mark B. Goodwin, Nathan Myhrvold

Abstract

A dinosaur census recorded during the Hell Creek Project (1999-2009) incorporates multiple lines of evidence from geography, taphohistory, stratigraphy, phylogeny and ontogeny to investigate the relative abundance of large dinosaurs preserved in the Upper Cretaceous Hell Creek Formation of northeastern Montana, USA. Overall, the dinosaur skeletal assemblages in the Hell Creek Formation (excluding lag-influenced records) consist primarily of subadult or small adult size individuals. Small juveniles and large adults are both extremely rare, whereas subadult individuals are relatively common. We propose that mature individuals of at least some dinosaur taxa either lived in a separate geographic locale analogous to younger individuals inhabiting an upland environment where sedimentation rates were relatively less, or these taxa experienced high mortality before reaching terminal size where late stage and often extreme cranial morphology is expressed.

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Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
United States 3 2%
Canada 1 <1%
Unknown 121 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 23%
Researcher 24 19%
Student > Bachelor 17 13%
Student > Master 11 9%
Other 9 7%
Other 19 15%
Unknown 18 14%
Readers by discipline Count As %
Earth and Planetary Sciences 44 34%
Agricultural and Biological Sciences 30 23%
Social Sciences 4 3%
Computer Science 4 3%
Physics and Astronomy 3 2%
Other 24 19%
Unknown 19 15%