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Linking Literature, Information, and Knowledge for Biology

Overview of attention for book
Attention for Chapter 2: Principles of Bioimage Informatics: Focus on Machine Learning of Cell Patterns
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
51 Mendeley
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Chapter title
Principles of Bioimage Informatics: Focus on Machine Learning of Cell Patterns
Chapter number 2
Book title
Linking Literature, Information, and Knowledge for Biology
Published in
Lecture notes in computer science, January 2010
DOI 10.1007/978-3-642-13131-8_2
Pubmed ID
Book ISBNs
978-3-64-213130-1, 978-3-64-213131-8
Authors

Coelho, Luis Pedro, Glory-Afshar, Estelle, Kangas, Joshua, Quinn, Shannon, Shariff, Aabid, Murphy, Robert F., Luis Pedro Coelho, Estelle Glory-Afshar, Joshua Kangas, Shannon Quinn, Aabid Shariff, Robert F. Murphy, Luís Pedro Coelho, Amr Ahmed, Andrew Arnold, Abdul-Saboor Sheikh, Eric P. Xing, William W. Cohen, Coelho, Luís Pedro, Ahmed, Amr, Arnold, Andrew, Sheikh, Abdul-Saboor, Xing, Eric P., Cohen, William W.

Editors

Christian Blaschke, Hagit Shatkay

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Germany 1 2%
Canada 1 2%
Sweden 1 2%
China 1 2%
Denmark 1 2%
Unknown 44 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Student > Ph. D. Student 12 24%
Student > Master 9 18%
Professor 3 6%
Professor > Associate Professor 3 6%
Other 6 12%
Unknown 5 10%
Readers by discipline Count As %
Computer Science 18 35%
Agricultural and Biological Sciences 9 18%
Biochemistry, Genetics and Molecular Biology 6 12%
Physics and Astronomy 3 6%
Engineering 2 4%
Other 7 14%
Unknown 6 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 July 2019.
All research outputs
#3,776,630
of 22,754,104 outputs
Outputs from Lecture notes in computer science
#891
of 8,126 outputs
Outputs of similar age
#21,988
of 163,773 outputs
Outputs of similar age from Lecture notes in computer science
#14
of 189 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 88% 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 163,773 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 86% of its contemporaries.
We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.