Usage Information

Myasthenia gravis: past, present, and future
Bianca M. Conti-Fine, … , Monica Milani, Henry J. Kaminski
Bianca M. Conti-Fine, … , Monica Milani, Henry J. Kaminski
Published November 1, 2006
Citation Information: J Clin Invest. 2006;116(11):2843-2854. https://doi.org/10.1172/JCI29894.
View: Text | PDF
Science in Medicine Article has an altmetric score of 17

Myasthenia gravis: past, present, and future

Abstract

Myasthenia gravis (MG) is an autoimmune syndrome caused by the failure of neuromuscular transmission, which results from the binding of autoantibodies to proteins involved in signaling at the neuromuscular junction (NMJ). These proteins include the nicotinic AChR or, less frequently, a muscle-specific tyrosine kinase (MuSK) involved in AChR clustering. Much is known about the mechanisms that maintain self tolerance and modulate anti-AChR Ab synthesis, AChR clustering, and AChR function as well as those that cause neuromuscular transmission failure upon Ab binding. This insight has led to the development of improved diagnostic methods and to the design of specific immunosuppressive or immunomodulatory treatments.

Authors

Bianca M. Conti-Fine, Monica Milani, Henry J. Kaminski

×

Usage data is cumulative from May 2024 through May 2025.

Usage JCI PMC
Text version 10,303 916
PDF 682 307
Figure 843 34
Table 260 0
Citation downloads 192 0
Totals 12,280 1,257
Total Views 13,537
(Click and drag on plot area to zoom in. Click legend items above to toggle)

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement