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Muscle biopsy features of idiopathic inflammatory myopathies and differential diagnosis

Overview of attention for article published in Autoimmunity Highlights, September 2014
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2 X users

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Title
Muscle biopsy features of idiopathic inflammatory myopathies and differential diagnosis
Published in
Autoimmunity Highlights, September 2014
DOI 10.1007/s13317-014-0062-2
Pubmed ID
Authors

Gaetano Vattemi, Massimiliano Mirabella, Valeria Guglielmi, Matteo Lucchini, Giuliano Tomelleri, Anna Ghirardello, Andrea Doria

Abstract

The gold standard to characterize idiopathic inflammatory myopathies is the morphological, immunohistochemical and immunopathological analysis of muscle biopsy. Mononuclear cell infiltrates and muscle fiber necrosis are commonly shared histopathological features. Inflammatory cells that surround, invade and destroy healthy muscle fibers expressing MHC class I antigen are the typical pathological finding of polymyositis. Perifascicular atrophy and microangiopathy strongly support a diagnosis of dermatomyositis. Randomly distributed necrotic muscle fibers without mononuclear cell infiltrates represent the histopathological hallmark of immune-mediated necrotizing myopathy; meanwhile, endomysial inflammation and muscle fiber degeneration are the two main pathological features in sporadic inclusion body myositis. A correct differential diagnosis requires immunopathological analysis of the muscle biopsy and has important clinical implications for therapeutic approach. In particular, unnecessary, potentially harmful, immune-suppressive therapy should be avoided alike in dystrophic myopathies with secondary inflammation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 14 14%
Other 12 12%
Researcher 11 11%
Student > Ph. D. Student 7 7%
Student > Bachelor 6 6%
Other 19 19%
Unknown 31 31%
Readers by discipline Count As %
Medicine and Dentistry 34 34%
Biochemistry, Genetics and Molecular Biology 7 7%
Agricultural and Biological Sciences 6 6%
Neuroscience 5 5%
Nursing and Health Professions 4 4%
Other 11 11%
Unknown 33 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 June 2018.
All research outputs
#14,881,379
of 23,090,520 outputs
Outputs from Autoimmunity Highlights
#48
of 85 outputs
Outputs of similar age
#130,569
of 239,791 outputs
Outputs of similar age from Autoimmunity Highlights
#3
of 4 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 85 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 43rd percentile – i.e., 43% 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 239,791 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.