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Clinical baseline factors predict response to natalizumab: their usefulness in patient selection

Overview of attention for article published in BMC Neurology, May 2014
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Citations

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41 Mendeley
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Title
Clinical baseline factors predict response to natalizumab: their usefulness in patient selection
Published in
BMC Neurology, May 2014
DOI 10.1186/1471-2377-14-103
Pubmed ID
Authors

Alice Laroni, Ilaria Gandoglia, Claudio Solaro, Giuseppe Ribizzi, Tiziana Tassinari, Matteo Pizzorno, Sergio Parodi, Giovanna Baldassarre, Maria Teresa Rilla, Simonetta Venturi, Elisabetta Capello, Maria Pia Sormani, Antonio Uccelli, Giovanni Luigi Mancardi

Abstract

Optimal patient selection would improve the risk-benefit ratio of natalizumab treatment for relapsing-remitting multiple sclerosis (RR MS). Clinical features of subjects responding to natalizumab have not been univocally recognized.

X Demographics

X Demographics

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Germany 1 2%
Brazil 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 15%
Researcher 5 12%
Other 5 12%
Student > Master 5 12%
Student > Doctoral Student 3 7%
Other 8 20%
Unknown 9 22%
Readers by discipline Count As %
Medicine and Dentistry 17 41%
Neuroscience 3 7%
Agricultural and Biological Sciences 3 7%
Nursing and Health Professions 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 10%
Unknown 11 27%
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 10 June 2014.
All research outputs
#13,408,565
of 22,755,127 outputs
Outputs from BMC Neurology
#1,065
of 2,427 outputs
Outputs of similar age
#111,607
of 227,162 outputs
Outputs of similar age from BMC Neurology
#21
of 68 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 53% 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 227,162 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.