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Incorporating genetics into the identification and treatment of Idiopathic Pulmonary Fibrosis

Overview of attention for article published in BMC Medicine, September 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)

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Title
Incorporating genetics into the identification and treatment of Idiopathic Pulmonary Fibrosis
Published in
BMC Medicine, September 2015
DOI 10.1186/s12916-015-0434-0
Pubmed ID
Authors

Susan K. Mathai, Ivana V. Yang, Marvin I. Schwarz, David A. Schwartz

Abstract

Idiopathic pulmonary fibrosis, the most common form of idiopathic interstitial pneumonia, is characterized by progressive, irreversible scarring of the lung parenchyma. Idiopathic pulmonary fibrosis has a poor prognosis, and there are no medical therapies available that have been shown to improve survival. It is usually sporadic, but there is evidence of familial clustering of pulmonary fibrosis, suggesting a genetic basis for this disease. More recently, studies have confirmed that specific genetic variants are associated with both familial and sporadic forms of pulmonary fibrosis. Although there are common and rare genetic variants that have been associated with the risk of developing pulmonary fibrosis, the genotyping of patients is not a generally accepted strategy. Better understanding of the interplay between genetic risk and environmental exposure is likely needed to inform both treatment and disease prevention. Several identified disease-associated genetic variants have implications for disease progression and survival, but systematic studies of known genetic variants and their influence on therapeutic efficacy are lacking. Future investigations should focus on understanding phenotypic differences between patients carrying different risk alleles, and clinical studies should be designed to control for the influence of different genetic risk variants on patient outcomes. Inherited genetic factors play a significant role in the risk of developing pulmonary fibrosis. Future studies will be needed to characterize patient phenotypes and to understand how these genetic factors will influence clinical decision-making for both diagnosis and treatment of idiopathic pulmonary fibrosis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 14%
Student > Bachelor 7 14%
Student > Master 6 12%
Student > Doctoral Student 4 8%
Student > Ph. D. Student 4 8%
Other 9 18%
Unknown 13 26%
Readers by discipline Count As %
Medicine and Dentistry 23 46%
Biochemistry, Genetics and Molecular Biology 6 12%
Nursing and Health Professions 2 4%
Agricultural and Biological Sciences 2 4%
Immunology and Microbiology 1 2%
Other 2 4%
Unknown 14 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 29 October 2015.
All research outputs
#3,609,248
of 22,829,083 outputs
Outputs from BMC Medicine
#1,911
of 3,430 outputs
Outputs of similar age
#48,938
of 274,665 outputs
Outputs of similar age from BMC Medicine
#66
of 94 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,430 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 44th percentile – i.e., 44% 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 274,665 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 82% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.