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Multi-view light-sheet imaging and tracking with the MaMuT software reveals the cell lineage of a direct developing arthropod limb

Overview of attention for article published in eLife, March 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 15,841)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
3 news outlets
blogs
4 blogs
twitter
1930 X users
facebook
11 Facebook pages

Citations

dimensions_citation
151 Dimensions

Readers on

mendeley
149 Mendeley
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Title
Multi-view light-sheet imaging and tracking with the MaMuT software reveals the cell lineage of a direct developing arthropod limb
Published in
eLife, March 2018
DOI 10.7554/elife.34410
Pubmed ID
Authors

Carsten Wolff, Jean-Yves Tinevez, Tobias Pietzsch, Evangelia Stamataki, Benjamin Harich, Léo Guignard, Stephan Preibisch, Spencer Shorte, Philipp J Keller, Pavel Tomancak, Anastasios Pavlopoulos

X Demographics

X Demographics

The data shown below were collected from the profiles of 1,930 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 149 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 21%
Researcher 25 17%
Student > Master 17 11%
Student > Bachelor 14 9%
Student > Doctoral Student 9 6%
Other 17 11%
Unknown 36 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 28%
Agricultural and Biological Sciences 31 21%
Physics and Astronomy 10 7%
Neuroscience 8 5%
Computer Science 5 3%
Other 17 11%
Unknown 36 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1180. 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 September 2021.
All research outputs
#12,418
of 25,761,363 outputs
Outputs from eLife
#26
of 15,841 outputs
Outputs of similar age
#231
of 345,312 outputs
Outputs of similar age from eLife
#1
of 342 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,841 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.9. This one has done particularly well, scoring higher than 99% 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 345,312 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 99% of its contemporaries.
We're also able to compare this research output to 342 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 99% of its contemporaries.