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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 (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
22 X users
patent
1 patent

Citations

dimensions_citation
252 Dimensions

Readers on

mendeley
180 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Unknown 179 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 23%
Researcher 40 22%
Student > Master 19 11%
Student > Bachelor 11 6%
Student > Postgraduate 9 5%
Other 20 11%
Unknown 39 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 55 31%
Agricultural and Biological Sciences 32 18%
Neuroscience 10 6%
Chemistry 7 4%
Engineering 6 3%
Other 22 12%
Unknown 48 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 17 February 2021.
All research outputs
#2,189,439
of 26,017,215 outputs
Outputs from Nature Methods
#2,342
of 5,401 outputs
Outputs of similar age
#44,166
of 428,999 outputs
Outputs of similar age from Nature Methods
#47
of 94 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% 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 36.7. This one has gotten more attention than average, scoring higher than 56% 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 428,999 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 89% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.