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The Connectome Mapper: An Open-Source Processing Pipeline to Map Connectomes with MRI

Overview of attention for article published in PLOS ONE, December 2012
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
273 Dimensions

Readers on

mendeley
282 Mendeley
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Title
The Connectome Mapper: An Open-Source Processing Pipeline to Map Connectomes with MRI
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0048121
Pubmed ID
Authors

Alessandro Daducci, Stephan Gerhard, Alessandra Griffa, Alia Lemkaddem, Leila Cammoun, Xavier Gigandet, Reto Meuli, Patric Hagmann, Jean-Philippe Thiran

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
Spain 5 2%
Germany 3 1%
Canada 3 1%
United Kingdom 2 <1%
Switzerland 2 <1%
Italy 1 <1%
Finland 1 <1%
Korea, Republic of 1 <1%
Other 2 <1%
Unknown 253 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 85 30%
Student > Ph. D. Student 63 22%
Student > Master 45 16%
Student > Postgraduate 13 5%
Student > Doctoral Student 11 4%
Other 31 11%
Unknown 34 12%
Readers by discipline Count As %
Neuroscience 83 29%
Medicine and Dentistry 37 13%
Agricultural and Biological Sciences 28 10%
Computer Science 25 9%
Engineering 24 9%
Other 40 14%
Unknown 45 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 July 2017.
All research outputs
#5,466,525
of 25,837,817 outputs
Outputs from PLOS ONE
#89,531
of 224,660 outputs
Outputs of similar age
#52,629
of 292,012 outputs
Outputs of similar age from PLOS ONE
#1,194
of 4,897 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has gotten more attention than average, scoring higher than 60% 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 292,012 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 81% of its contemporaries.
We're also able to compare this research output to 4,897 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.