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eC-CLEM: flexible multidimensional registration software for correlative microscopies

Overview of attention for article published in Nature Methods, January 2017
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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)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
19 tweeters

Citations

dimensions_citation
106 Dimensions

Readers on

mendeley
119 Mendeley
citeulike
1 CiteULike
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Title
eC-CLEM: flexible multidimensional registration software for correlative microscopies
Published in
Nature Methods, January 2017
DOI 10.1038/nmeth.4170
Pubmed ID
Authors

Perrine Paul-Gilloteaux, Xavier Heiligenstein, Martin Belle, Marie-Charlotte Domart, Banafshe Larijani, Lucy Collinson, Graça Raposo, Jean Salamero

Twitter Demographics

The data shown below were collected from the profiles of 19 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Switzerland 1 <1%
Unknown 116 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 27%
Researcher 30 25%
Student > Master 14 12%
Other 7 6%
Student > Postgraduate 5 4%
Other 12 10%
Unknown 19 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 28%
Agricultural and Biological Sciences 29 24%
Neuroscience 7 6%
Chemistry 6 5%
Materials Science 4 3%
Other 14 12%
Unknown 26 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 January 2021.
All research outputs
#1,695,750
of 16,669,654 outputs
Outputs from Nature Methods
#1,813
of 4,245 outputs
Outputs of similar age
#48,315
of 362,304 outputs
Outputs of similar age from Nature Methods
#50
of 96 outputs
Altmetric has tracked 16,669,654 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,245 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.3. This one has gotten more attention than average, scoring higher than 57% 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 362,304 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 96 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.