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Medical data transformation using rewriting

Overview of attention for article published in Frontiers in Neuroinformatics, February 2015
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1 X user

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12 Mendeley
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Title
Medical data transformation using rewriting
Published in
Frontiers in Neuroinformatics, February 2015
DOI 10.3389/fninf.2015.00001
Pubmed ID
Authors

Naveen Ashish, Arthur W. Toga

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Other 2 17%
Professor 1 8%
Student > Bachelor 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 3 25%
Readers by discipline Count As %
Computer Science 3 25%
Neuroscience 2 17%
Psychology 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Sports and Recreations 1 8%
Other 1 8%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 May 2015.
All research outputs
#20,274,720
of 22,807,037 outputs
Outputs from Frontiers in Neuroinformatics
#679
of 749 outputs
Outputs of similar age
#214,616
of 254,699 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#12
of 12 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 749 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 254,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.