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A new arboreal haramiyid shows the diversity of crown mammals in the Jurassic period

Overview of attention for article published in Nature, August 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
14 news outlets
blogs
3 blogs
twitter
2 X users
facebook
1 Facebook page
wikipedia
16 Wikipedia pages
googleplus
2 Google+ users
video
1 YouTube creator

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
95 Mendeley
citeulike
1 CiteULike
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Title
A new arboreal haramiyid shows the diversity of crown mammals in the Jurassic period
Published in
Nature, August 2013
DOI 10.1038/nature12353
Pubmed ID
Authors

Xiaoting Zheng, Shundong Bi, Xiaoli Wang, Jin Meng

Abstract

A major unsolved problem in mammalian evolution is the origin of Allotheria, including Multituberculata and Haramiyida. Multituberculates are the most diverse and best known Mesozoic era mammals and ecologically resemble rodents, but haramiyids are known mainly from isolated teeth, hampering our search for their phylogenetic relationships. Here we report a new haramiyid from the Jurassic period of China, which is, to our knowledge the largest reported so far. It has a novel dentition, a mandible resembling advanced multituberculates and postcranial features adapted for arboreal life. Our phylogenetic analysis places Haramiyida within crown Mammalia, suggesting the origin of crown Mammalia in the Late Triassic period and diversification in the Jurassic, which contrasts other estimated divergence times of crown Mammalia. The new haramiyid reveals additional mammalian features of the group, helps to identify other haramiyids represented by isolated teeth, and shows again that, regardless of various phylogenetic scenarios, a complex pattern of evolution involving many convergences and/or reversals existed in Mesozoic mammals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Netherlands 1 1%
United Kingdom 1 1%
Canada 1 1%
Mexico 1 1%
Japan 1 1%
United States 1 1%
Poland 1 1%
Unknown 87 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 25%
Researcher 17 18%
Student > Master 10 11%
Student > Bachelor 9 9%
Student > Doctoral Student 6 6%
Other 11 12%
Unknown 18 19%
Readers by discipline Count As %
Earth and Planetary Sciences 31 33%
Agricultural and Biological Sciences 28 29%
Environmental Science 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Psychology 2 2%
Other 5 5%
Unknown 20 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 153. 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 17 January 2020.
All research outputs
#239,237
of 23,658,138 outputs
Outputs from Nature
#14,031
of 92,807 outputs
Outputs of similar age
#1,710
of 198,962 outputs
Outputs of similar age from Nature
#199
of 978 outputs
Altmetric has tracked 23,658,138 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 92,807 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 100.6. This one has done well, scoring higher than 84% 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 198,962 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 99% of its contemporaries.
We're also able to compare this research output to 978 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.