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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning
|
---|---|
Published in |
BMC Medical Imaging, January 2021
|
DOI | 10.1186/s12880-020-00543-7 |
Pubmed ID | |
Authors |
Dominik Müller, Frank Kramer |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 2 | 13% |
United States | 2 | 13% |
Brazil | 1 | 6% |
Unknown | 11 | 69% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 75% |
Scientists | 2 | 13% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 147 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 18% |
Student > Master | 16 | 11% |
Student > Bachelor | 12 | 8% |
Researcher | 7 | 5% |
Student > Doctoral Student | 5 | 3% |
Other | 15 | 10% |
Unknown | 66 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 36 | 24% |
Engineering | 14 | 10% |
Medicine and Dentistry | 8 | 5% |
Unspecified | 4 | 3% |
Physics and Astronomy | 3 | 2% |
Other | 12 | 8% |
Unknown | 70 | 48% |
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 15 March 2021.
All research outputs
#5,243,386
of 25,387,668 outputs
Outputs from BMC Medical Imaging
#59
of 665 outputs
Outputs of similar age
#136,215
of 522,463 outputs
Outputs of similar age from BMC Medical Imaging
#2
of 19 outputs
Altmetric has tracked 25,387,668 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 665 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done particularly well, scoring higher than 91% 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 522,463 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 73% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.