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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
KNIME for Open-Source Bioimage Analysis: A Tutorial.
|
|---|---|
| Chapter number | 7 |
| Book title |
Focus on Bio-Image Informatics
|
| Published in |
Advances in anatomy embryology and cell biology, May 2016
|
| DOI | 10.1007/978-3-319-28549-8_7 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-928547-4, 978-3-31-928549-8
|
| Authors |
Christian Dietz, Michael R. Berthold |
| Editors |
Winnok H. De Vos, Sebastian Munck, Jean-Pierre Timmermans |
| Abstract |
The open analytics platform KNIME is a modular environment that enables easy visual assembly and interactive execution of workflows. KNIME is already widely used in various areas of research, for instance in cheminformatics or classical data analysis. In this tutorial the KNIME Image Processing Extension is introduced, which adds the capabilities to process and analyse huge amounts of images. In combination with other KNIME extensions, KNIME Image Processing opens up new possibilities for inter-domain analysis of image data in an understandable and reproducible way. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Unknown | 72 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 21% |
| Student > Bachelor | 10 | 14% |
| Researcher | 8 | 11% |
| Student > Ph. D. Student | 8 | 11% |
| Professor | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 18 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 15% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Engineering | 8 | 11% |
| Agricultural and Biological Sciences | 6 | 8% |
| Chemistry | 4 | 5% |
| Other | 11 | 15% |
| Unknown | 24 | 33% |
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 14 June 2016.
All research outputs
#19,078,452
of 24,325,299 outputs
Outputs from Advances in anatomy embryology and cell biology
#53
of 87 outputs
Outputs of similar age
#242,365
of 339,076 outputs
Outputs of similar age from Advances in anatomy embryology and cell biology
#6
of 8 outputs
Altmetric has tracked 24,325,299 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 87 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 40th percentile – i.e., 40% 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 339,076 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.