↓ Skip to main content

An objective comparison of cell-tracking algorithms

Overview of attention for article published in Nature Methods, October 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
7 news outlets
twitter
99 X users
patent
1 patent
facebook
3 Facebook pages

Citations

dimensions_citation
441 Dimensions

Readers on

mendeley
511 Mendeley
citeulike
1 CiteULike
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
An objective comparison of cell-tracking algorithms
Published in
Nature Methods, October 2017
DOI 10.1038/nmeth.4473
Pubmed ID
Authors

Vladimír Ulman, Martin Maška, Klas E G Magnusson, Olaf Ronneberger, Carsten Haubold, Nathalie Harder, Pavel Matula, Petr Matula, David Svoboda, Miroslav Radojevic, Ihor Smal, Karl Rohr, Joakim Jaldén, Helen M Blau, Oleh Dzyubachyk, Boudewijn Lelieveldt, Pengdong Xiao, Yuexiang Li, Siu-Yeung Cho, Alexandre C Dufour, Jean-Christophe Olivo-Marin, Constantino C Reyes-Aldasoro, Jose A Solis-Lemus, Robert Bensch, Thomas Brox, Johannes Stegmaier, Ralf Mikut, Steffen Wolf, Fred A Hamprecht, Tiago Esteves, Pedro Quelhas, Ömer Demirel, Lars Malmström, Florian Jug, Pavel Tomancak, Erik Meijering, Arrate Muñoz-Barrutia, Michal Kozubek, Carlos Ortiz-de-Solorzano

X Demographics

X Demographics

The data shown below were collected from the profiles of 99 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 511 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 511 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 128 25%
Researcher 81 16%
Student > Master 56 11%
Student > Bachelor 42 8%
Student > Doctoral Student 23 5%
Other 61 12%
Unknown 120 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 80 16%
Agricultural and Biological Sciences 78 15%
Computer Science 65 13%
Engineering 63 12%
Physics and Astronomy 28 5%
Other 63 12%
Unknown 134 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 109. 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 03 January 2023.
All research outputs
#390,561
of 25,837,817 outputs
Outputs from Nature Methods
#458
of 5,401 outputs
Outputs of similar age
#8,194
of 343,695 outputs
Outputs of similar age from Nature Methods
#7
of 76 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.8. 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 343,695 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 76 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 90% of its contemporaries.