↓ Skip to main content
Embed badge What is this page?

MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging – design, implementation and application on the example of DCE-MRI

Overview of attention for article published in BMC Bioinformatics, January 2019
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
60 Mendeley
citeulike
1 CiteULike

What is this page?

Summary Twitter Dimensions citations
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
MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging – design, implementation and application on the example of DCE-MRI
Published in
BMC Bioinformatics, January 2019
DOI 10.1186/s12859-018-2588-1
Pubmed ID
30651067
Authors

Charlotte Debus, Ralf Floca, Michael Ingrisch, Ina Kompan, Klaus Maier-Hein, Amir Abdollahi, Marco Nolden

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 17%
Student > Master 7 12%
Student > Bachelor 6 10%
Student > Doctoral Student 5 8%
Student > Ph. D. Student 5 8%
Other 9 15%
Unknown 18 30%
Readers by discipline Count As %
Medicine and Dentistry 11 18%
Computer Science 7 12%
Engineering 5 8%
Neuroscience 5 8%
Physics and Astronomy 4 7%
Other 6 10%
Unknown 22 37%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 December 2020.
All research outputs
#5,807,568
of 23,096,849 outputs
Outputs from BMC Bioinformatics
#2,145
of 7,328 outputs
Outputs of similar age
#119,644
of 438,087 outputs
Outputs of similar age from BMC Bioinformatics
#53
of 192 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,328 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 70% 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 438,087 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 72% of its contemporaries.
We're also able to compare this research output to 192 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 72% of its contemporaries.

This page is provided by Altmetric.