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Multi-photon excitation microscopy

Overview of attention for article published in BioMedical Engineering OnLine, June 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 835)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
3 patents
wikipedia
1 Wikipedia page
googleplus
7 Google+ users
video
1 YouTube creator

Citations

dimensions_citation
140 Dimensions

Readers on

mendeley
407 Mendeley
citeulike
3 CiteULike
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Title
Multi-photon excitation microscopy
Published in
BioMedical Engineering OnLine, June 2006
DOI 10.1186/1475-925x-5-36
Pubmed ID
Authors

Alberto Diaspro, Paolo Bianchini, Giuseppe Vicidomini, Mario Faretta, Paola Ramoino, Cesare Usai

Abstract

Multi-photon excitation (MPE) microscopy plays a growing role among microscopical techniques utilized for studying biological matter. In conjunction with confocal microscopy it can be considered the imaging workhorse of life science laboratories. Its roots can be found in a fundamental work written by Maria Goeppert Mayer more than 70 years ago. Nowadays, 2PE and MPE microscopes are expected to increase their impact in areas such biotechnology, neurobiology, embryology, tissue engineering, materials science where imaging can be coupled to the possibility of using the microscopes in an active way, too. As well, 2PE implementations in noninvasive optical bioscopy or laser-based treatments point out to the relevance in clinical applications. Here we report about some basic aspects related to the phenomenon, implications in three-dimensional imaging microscopy, practical aspects related to design and realization of MPE microscopes, and we only give a list of potential applications and variations on the theme in order to offer a starting point for advancing new applications and developments.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 407 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
United Kingdom 4 <1%
Germany 3 <1%
Italy 2 <1%
Chile 2 <1%
France 1 <1%
Switzerland 1 <1%
Portugal 1 <1%
Czechia 1 <1%
Other 6 1%
Unknown 381 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 92 23%
Researcher 81 20%
Student > Master 48 12%
Student > Bachelor 41 10%
Professor 19 5%
Other 66 16%
Unknown 60 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 88 22%
Physics and Astronomy 77 19%
Engineering 47 12%
Biochemistry, Genetics and Molecular Biology 35 9%
Chemistry 32 8%
Other 59 14%
Unknown 69 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 March 2022.
All research outputs
#1,197,171
of 23,339,727 outputs
Outputs from BioMedical Engineering OnLine
#14
of 835 outputs
Outputs of similar age
#1,790
of 65,237 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 6 outputs
Altmetric has tracked 23,339,727 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 835 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 98% 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 65,237 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them