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Depression in Multiple Sclerosis: Epidemiology, Aetiology, Diagnosis and Treatment

Overview of attention for article published in CNS Drugs, February 2018
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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 (85th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
12 X users

Citations

dimensions_citation
108 Dimensions

Readers on

mendeley
282 Mendeley
Title
Depression in Multiple Sclerosis: Epidemiology, Aetiology, Diagnosis and Treatment
Published in
CNS Drugs, February 2018
DOI 10.1007/s40263-018-0489-5
Pubmed ID
Authors

Claudio Solaro, Giulia Gamberini, Fabio Giuseppe Masuccio

Abstract

Depressive disorders are common in patients with multiple sclerosis, influencing their quality of life and adherence to treatments, as well as becoming more frequent with the progression of the disease and in the secondary progressive form of multiple sclerosis. Patients with multiple sclerosis often experience a typical cluster of symptoms in association with depression, such as fatigue, pain and cognitive impairment. However, the pathogenesis of multiple sclerosis-related depression remains partially unclear, even though genetic, immune-inflammatory and psychosocial factors might be seen to play a role, in addition to the brain structural alterations documented by magnetic resonance imaging studies. The high incidence and burden of depression in people affected with multiple sclerosis are matters of crucial importance. Despite such importance, the efficacy of pharmacologic treatments has been poorly studied and, for the most part, the access to non-pharmacological treatments is partially dependent on the local health system availability. It has been determined that interferon-beta and glatiramer acetate do not cause depressive symptoms; however, no definitive data in this regard are avaible for the newer disease-modifyng medications. In this review, we discuss the diagnosis, prevalence, pathogenesis, clinical aspects, magnetic resonance imaging findings and treatments available in patients experiencing multiple sclerosis-related depression.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 282 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 40 14%
Student > Master 23 8%
Other 18 6%
Student > Ph. D. Student 18 6%
Researcher 16 6%
Other 59 21%
Unknown 108 38%
Readers by discipline Count As %
Medicine and Dentistry 61 22%
Psychology 32 11%
Nursing and Health Professions 19 7%
Neuroscience 18 6%
Unspecified 15 5%
Other 22 8%
Unknown 115 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 17 February 2021.
All research outputs
#2,976,731
of 25,241,031 outputs
Outputs from CNS Drugs
#248
of 1,386 outputs
Outputs of similar age
#65,202
of 449,812 outputs
Outputs of similar age from CNS Drugs
#9
of 15 outputs
Altmetric has tracked 25,241,031 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,386 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 82% 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 449,812 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 85% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.