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Comparative evaluation of the cadaveric, radiographic and computed tomographic anatomy of the heads of green iguana (Iguana iguana) , common tegu ( Tupinambis merianae) and bearded dragon ( Pogona…

Overview of attention for article published in BMC Veterinary Research, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users
facebook
3 Facebook pages
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
64 Mendeley
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Title
Comparative evaluation of the cadaveric, radiographic and computed tomographic anatomy of the heads of green iguana (Iguana iguana) , common tegu ( Tupinambis merianae) and bearded dragon ( Pogona vitticeps)
Published in
BMC Veterinary Research, May 2012
DOI 10.1186/1746-6148-8-53
Pubmed ID
Authors

Tommaso Banzato, Paolo Selleri, Irene A Veladiano, Andrea Martin, Emanuele Zanetti, Alessandro Zotti

Abstract

Radiology and computed tomography are the most commonly available diagnostic tools for the diagnosis of pathologies affecting the head and skull in veterinary practice. Nevertheless, accurate interpretation of radiographic and CT studies requires a thorough knowledge of the gross and the cross-sectional anatomy. Despite the increasing success of reptiles as pets, only a few reports over their normal imaging features are currently available. The aim of this study is to describe the normal cadaveric, radiographic and computed tomographic features of the heads of the green iguana, tegu and bearded dragon.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 3%
Portugal 1 2%
Brazil 1 2%
Unknown 60 94%

Demographic breakdown

Readers by professional status Count As %
Other 13 20%
Student > Master 7 11%
Researcher 6 9%
Student > Postgraduate 5 8%
Student > Bachelor 3 5%
Other 13 20%
Unknown 17 27%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 24 38%
Agricultural and Biological Sciences 9 14%
Medicine and Dentistry 6 9%
Unspecified 2 3%
Computer Science 1 2%
Other 8 13%
Unknown 14 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 May 2023.
All research outputs
#2,335,024
of 23,881,329 outputs
Outputs from BMC Veterinary Research
#142
of 3,087 outputs
Outputs of similar age
#14,644
of 166,082 outputs
Outputs of similar age from BMC Veterinary Research
#1
of 27 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,087 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 96% 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 166,082 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 91% of its contemporaries.
We're also able to compare this research output to 27 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 99% of its contemporaries.