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Neuroimaging Part I

Overview of attention for article published in Handbook of clinical neurology, January 2016
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Article details
Title
Neuroimaging Part I
Published in
Handbook of clinical neurology, January 2016
DOI 10.1016/b978-0-444-53485-9.00019-2
Pubmed ID
Authors

Saigal, Gaurav, Nagornaya, Natalya, Post, M Judith D

Abstract

Imaging is useful in the diagnosis and management of infections of the central nervous system. Typically, imaging findings at the outset of the disease are subtle and nonspecific, but they often evolve to more definite imaging patterns in a few days, with less rapidity than for stroke but faster than for neoplastic lesions. This timing is similar to that of noninfectious inflammatory brain disease, such as multiple sclerosis. Fortunately, imaging patterns help to distinguish the two kinds of processes. Other than for sarcoidosis, the meninges are seldom involved in noninfectious inflammation; in contrast, many infectious processes involve the meninges, which then enhance with contrast on computed tomography (CT) or magnetic resonance imaging (MRI). However, brain infection causes a vast array of imaging patterns. Although CT is useful when hemorrhage or calcification is suspected or bony detail needs to be determined, MRI is the imaging modality of choice in the investigation of intracranial infections. Imaging sequences such as diffusion-weighted imaging help in accurately depicting the location and characterizing pyogenic infections and are particularly useful in differentiating bacterial infections from other etiologies. Susceptibility-weighted imaging is extremely useful for the detection of hemorrhage. Although MR spectroscopy findings can frequently be nonspecific, certain conditions such as bacterial abscesses show a relatively specific spectral pattern and are useful in diagnosing and constituting immediate therapy. In this chapter we review first the imaging patterns associated with involvement of various brain structures, such as the epidural and subdural spaces, the meninges, the brain parenchyma, and the ventricles. Involvement of these regions is illustrated with bacterial infections. Next we illustrate the patterns associated with viral and prion diseases, followed by mycobacterial and fungal infections, to conclude with a review of imaging findings in parasitic infections.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 40 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 40 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 8 20%
Student > Ph. D. Student 5 13%
Student > Doctoral Student 3 8%
Student > Master 3 8%
Researcher 2 5%
Other 3 8%
Unknown 16 40%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 13 33%
Nursing and Health Professions 3 8%
Agricultural and Biological Sciences 3 8%
Immunology and Microbiology 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 5%
Unknown 16 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 July 2016.
All research outputs
#15,380,359
of 22,881,154 outputs
Outputs from Handbook of clinical neurology
#751
of 1,279 outputs
Outputs of similar age
#230,984
of 393,699 outputs
Outputs of similar age from Handbook of clinical neurology
#39
of 90 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,279 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 27th percentile – i.e., 27% 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 393,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.