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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
4 X users
patent
5 patents

Readers on

mendeley
410 Mendeley
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Article details
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
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.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 410 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 410 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 65 16%
Researcher 60 15%
Student > Bachelor 31 8%
Student > Master 31 8%
Student > Doctoral Student 18 4%
Other 49 12%
Unknown 156 38%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 72 18%
Medicine and Dentistry 35 9%
Agricultural and Biological Sciences 34 8%
Pharmacology, Toxicology and Pharmaceutical Science 27 7%
Immunology and Microbiology 22 5%
Other 48 12%
Unknown 172 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 15 September 2026.
All research outputs
#1,851,019
of 31,694,551 outputs
Outputs from Frontiers in Medicine
#562
of 9,828 outputs
Outputs of similar age
#28,176
of 344,103 outputs
Outputs of similar age from Frontiers in Medicine
#4
of 70 outputs
Altmetric has tracked 31,694,551 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done particularly well, scoring higher than 94% 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 344,103 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 70 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 94% of its contemporaries.