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Factors associated with benign multiple sclerosis in the New York State MS Consortium (NYSMSC)

Overview of attention for article published in BMC Neurology, July 2016
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
7 X users

Citations

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12 Dimensions

Readers on

mendeley
46 Mendeley
Title
Factors associated with benign multiple sclerosis in the New York State MS Consortium (NYSMSC)
Published in
BMC Neurology, July 2016
DOI 10.1186/s12883-016-0623-2
Pubmed ID
Authors

Robert Zivadinov, Diane L. Cookfair, Lauren Krupp, Aaron E. Miller, Neil Lava, Patricia K. Coyle, Andrew D. Goodman, Burk Jubelt, Michael Lenihan, Joseph Herbert, Malcolm Gottesman, David H. Snyder, Brian R. Apatoff, Barbara E. Teter, Allan B. Perel, Frederick Munschauer, Bianca Weinstock-Guttman

Abstract

This retrospective analysis explored prognostic factors associated with a benign multiple sclerosis (BMS) disease course at baseline and over the 4-year follow-up. Patients from the centralized New York State Multiple Sclerosis Consortium registry were classified as having BMS according to 3 different criteria centered on disease duration and disability. Additional analyses explored prognostic factors associated with BMS using the most conservative disability criteria (Expanded Disability Status Scale ≤2 and disease duration ≥10 years). Among 6258 patients who fulfilled eligibility criteria, 19.8 % to 33.3 % were characterized as having BMS, at baseline depending on classification criteria used. Positive prognostic factors for BMS at baseline included female sex (p < 0.0001) and younger age at onset (p < 0.0001); negative prognostic factors included progressive-onset type of MS and African-American race. Of the 1237 BMS patients (per most conservative criteria), 742 were followed for a median of 4 years to explore effect of disease-modifying treatment (DMT) on benign status. DMT (p = 0.009) and longer disease duration (p = 0.007) were the only significant positive predictors of maintaining BMS at follow-up. The protective effect was stronger for patients taking DMT at both enrollment and follow-up (OR = 0.71; p = 0.006). There is a need for development of more reliable prognostic indicators of BMS. Use of DMT was significantly associated with maintaining a benign disease state.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 7 15%
Researcher 6 13%
Student > Master 5 11%
Student > Bachelor 4 9%
Student > Ph. D. Student 3 7%
Other 8 17%
Unknown 13 28%
Readers by discipline Count As %
Medicine and Dentistry 18 39%
Neuroscience 4 9%
Nursing and Health Professions 3 7%
Biochemistry, Genetics and Molecular Biology 1 2%
Immunology and Microbiology 1 2%
Other 5 11%
Unknown 14 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 06 January 2017.
All research outputs
#1,631,804
of 23,878,717 outputs
Outputs from BMC Neurology
#128
of 2,532 outputs
Outputs of similar age
#31,148
of 360,146 outputs
Outputs of similar age from BMC Neurology
#4
of 58 outputs
Altmetric has tracked 23,878,717 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,532 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 94% 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 360,146 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.