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Exploring Animal Models That Resemble Idiopathic Pulmonary Fibrosis

Overview of attention for article published in Frontiers in Medicine, July 2017
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 blog
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2 policy sources
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342 Mendeley
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Title
Exploring Animal Models That Resemble Idiopathic Pulmonary Fibrosis
Published in
Frontiers in Medicine, July 2017
DOI 10.3389/fmed.2017.00118
Pubmed ID
Authors

Jun Tashiro, Gustavo A. Rubio, Andrew H. Limper, Kurt Williams, Sharon J. Elliot, Ioanna Ninou, Vassilis Aidinis, Argyrios Tzouvelekis, Marilyn K. Glassberg

Abstract

Large multicenter clinical trials have led to two recently approved drugs for patients with idiopathic pulmonary fibrosis (IPF); yet, both of these therapies only slow disease progression and do not provide a definitive cure. Traditionally, preclinical trials have utilized mouse models of bleomycin (BLM)-induced pulmonary fibrosis-though several limitations prevent direct translation to human IPF. Spontaneous pulmonary fibrosis occurs in other animal species, including dogs, horses, donkeys, and cats. While the fibrotic lungs of these animals share many characteristics with lungs of patients with IPF, current veterinary classifications of fibrotic lung disease are not entirely equivalent. Additional studies that profile these examples of spontaneous fibroses in animals for similarities to human IPF should prove useful for both human and animal investigators. In the meantime, studies of BLM-induced fibrosis in aged male mice remain the most clinically relevant model for preclinical study for human IPF. Addressing issues such as time course of treatment, animal size and characteristics, clinically irrelevant treatment endpoints, and reproducibility of therapeutic outcomes will improve the current status of preclinical studies. Elucidating the mechanisms responsible for the development of fibrosis and disrepair associated with aging through a collaborative approach between researchers will promote the development of models that more accurately represent the realm of interstitial lung diseases in humans.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 342 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 342 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 18%
Researcher 60 18%
Student > Master 28 8%
Student > Bachelor 28 8%
Student > Doctoral Student 14 4%
Other 44 13%
Unknown 107 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 63 18%
Agricultural and Biological Sciences 34 10%
Medicine and Dentistry 33 10%
Pharmacology, Toxicology and Pharmaceutical Science 24 7%
Immunology and Microbiology 22 6%
Other 45 13%
Unknown 121 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 11 December 2023.
All research outputs
#2,320,390
of 25,463,724 outputs
Outputs from Frontiers in Medicine
#675
of 7,213 outputs
Outputs of similar age
#42,993
of 326,955 outputs
Outputs of similar age from Frontiers in Medicine
#9
of 70 outputs
Altmetric has tracked 25,463,724 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 7,213 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done particularly well, scoring higher than 90% 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 326,955 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 86% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.