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TMSmap – Software for Quantitative Analysis of TMS Mapping Results

Overview of attention for article published in Frontiers in Human Neuroscience, July 2018
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6 X users

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63 Mendeley
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Title
TMSmap – Software for Quantitative Analysis of TMS Mapping Results
Published in
Frontiers in Human Neuroscience, July 2018
DOI 10.3389/fnhum.2018.00239
Pubmed ID
Authors

Pavel A. Novikov, Maria A. Nazarova, Vadim V. Nikulin

Abstract

The use of the MRI-navigation system ensures accurate targeting of TMS. This, in turn, results in TMS motor mapping becoming a routinely used procedure in neuroscience and neurosurgery. However, currently, there is no standardized methodology for assessment of TMS motor-mapping results. Therefore, we developed TMSmap-free standalone graphical interface software for the quantitative analysis of the TMS motor mapping results (http://tmsmap.ru/). In addition to the estimation of standard parameters (such as the size of cortical muscle representation and the center of gravity location), it allows estimation of the volume of cortical representations, excitability profile of the cortical surface map, and the overlap between cortical representations. The input data for the software includes the coordinates of the coil position (or electric field maximum) and the corresponding response in each stimulation point. TMSmap has been developed for versatile assessment and comparison of TMS maps relating to different experimental interventions including, but not limited to longitudinal, pharmacological and clinical studies (e.g., stroke recovery). To illustrate the use of TMSmap we provide examples of the actual TMS motor-mapping analysis of two healthy subjects and one chronic stroke patient.

X Demographics

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The data shown below were collected from the profiles of 6 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Researcher 8 13%
Student > Master 8 13%
Student > Bachelor 6 10%
Student > Doctoral Student 3 5%
Other 8 13%
Unknown 20 32%
Readers by discipline Count As %
Medicine and Dentistry 12 19%
Neuroscience 12 19%
Engineering 5 8%
Psychology 4 6%
Social Sciences 2 3%
Other 5 8%
Unknown 23 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 March 2019.
All research outputs
#14,389,462
of 25,375,376 outputs
Outputs from Frontiers in Human Neuroscience
#3,694
of 7,669 outputs
Outputs of similar age
#162,502
of 333,432 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#78
of 127 outputs
Altmetric has tracked 25,375,376 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,669 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has gotten more attention than average, scoring higher than 50% 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 333,432 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.