↓ Skip to main content

The multiple sclerosis visual pathway cohort: understanding neurodegeneration in MS

Overview of attention for article published in BMC Research Notes, December 2014
Altmetric Badge

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)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
129 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The multiple sclerosis visual pathway cohort: understanding neurodegeneration in MS
Published in
BMC Research Notes, December 2014
DOI 10.1186/1756-0500-7-910
Pubmed ID
Authors

Elena H Martínez-Lapiscina, Elena Fraga-Pumar, Iñigo Gabilondo, Eloy Martínez-Heras, Ruben Torres-Torres, Santiago Ortiz-Pérez, Sara Llufriu, Ana Tercero, Magi Andorra, Marc Figueras Roca, Erika Lampert, Irati Zubizarreta, Albert Saiz, Bernardo Sanchez-Dalmau, Pablo Villoslada

Abstract

Multiple Sclerosis (MS) is an immune-mediated disease of the Central Nervous System with two major underlying etiopathogenic processes: inflammation and neurodegeneration. The latter determines the prognosis of this disease. MS is the main cause of non-traumatic disability in middle-aged populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Spain 2 2%
United Kingdom 1 <1%
Unknown 124 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 16%
Student > Bachelor 19 15%
Researcher 15 12%
Student > Master 15 12%
Student > Doctoral Student 12 9%
Other 28 22%
Unknown 20 16%
Readers by discipline Count As %
Medicine and Dentistry 43 33%
Neuroscience 22 17%
Nursing and Health Professions 9 7%
Agricultural and Biological Sciences 8 6%
Psychology 7 5%
Other 14 11%
Unknown 26 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 13 April 2017.
All research outputs
#3,554,872
of 22,774,233 outputs
Outputs from BMC Research Notes
#495
of 4,263 outputs
Outputs of similar age
#50,694
of 354,430 outputs
Outputs of similar age from BMC Research Notes
#7
of 75 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,263 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 88% 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 354,430 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 75 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 90% of its contemporaries.