↓ Skip to main content

The difference between trivial and scientific names: There were never any true cheetahs in North America

Overview of attention for article published in Genome Biology, May 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
7 X users
wikipedia
10 Wikipedia pages
video
1 YouTube creator

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
14 Mendeley
Title
The difference between trivial and scientific names: There were never any true cheetahs in North America
Published in
Genome Biology, May 2016
DOI 10.1186/s13059-016-0943-y
Pubmed ID
Authors

S. Faurby, L. Werdelin, J. C. Svenning

Abstract

Dobrynin et al. (Genome Biol 16:277, 2015) recently published the complete genome of the cheetah (Acinonyx jubatus) and provided an exhaustive set of analyses supporting the famously low genetic variation in the species, known for several decades. Their genetic analyses represent state-of-the-art and we do not criticize them. However, their interpretation of the results is inconsistent with current knowledge of cheetah evolution. Dobrynin et al. suggest that the causes of the two inferred bottlenecks at ∼ 100,000 and 10,000 years ago were immigration by cheetahs from North America and end-Pleistocene megafauna extinction, respectively, but the first explanation is impossible and the second implausible.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 36%
Student > Master 2 14%
Student > Ph. D. Student 1 7%
Other 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 21%
Biochemistry, Genetics and Molecular Biology 2 14%
Earth and Planetary Sciences 2 14%
Economics, Econometrics and Finance 1 7%
Computer Science 1 7%
Other 0 0%
Unknown 5 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 18 July 2021.
All research outputs
#5,140,637
of 25,373,627 outputs
Outputs from Genome Biology
#2,827
of 4,467 outputs
Outputs of similar age
#75,243
of 312,441 outputs
Outputs of similar age from Genome Biology
#59
of 76 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 312,441 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.