↓ Skip to main content

Protocol: an improved and universal procedure for whole-mount immunolocalization in plants

Overview of attention for article published in Plant Methods, October 2015
Altmetric Badge

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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
11 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
289 Mendeley
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
Protocol: an improved and universal procedure for whole-mount immunolocalization in plants
Published in
Plant Methods, October 2015
DOI 10.1186/s13007-015-0094-2
Pubmed ID
Authors

Taras Pasternak, Olaf Tietz, Katja Rapp, Maura Begheldo, Roland Nitschke, Benedetto Ruperti, Klaus Palme

Abstract

Rapid advances in microscopy have boosted research on cell biology. However sample preparation enabling excellent reproducible tissue preservation and cell labeling for in depth microscopic analysis of inner cell layers, tissues and organs still represents a major challenge for immunolocalization studies. Here we describe a protocol for whole-mount immunolocalization of proteins which is applicable to a wide range of plant species. The protocol is improved and robust for optimal sample fixation, tissue clearing and multi-protein staining procedures and can be used in combination with simultaneous detection of specific sequences of nucleic acids. In addition, cell wall and nucleus labelling can be implemented in the protocol, thereby allowing a detailed analysis of morphology and gene expression patterns with single-cell resolution. Besides enabling accurate, high resolution and reproducible protein detection in expression and localization studies, the procedure takes a single working day to complete without the need for robotic equipment.

Twitter Demographics

The data shown below were collected from the profiles of 11 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 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Sweden 1 <1%
France 1 <1%
Canada 1 <1%
Unknown 284 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 19%
Student > Ph. D. Student 52 18%
Student > Master 39 13%
Student > Bachelor 34 12%
Student > Doctoral Student 16 6%
Other 45 16%
Unknown 48 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 136 47%
Biochemistry, Genetics and Molecular Biology 65 22%
Immunology and Microbiology 4 1%
Medicine and Dentistry 4 1%
Business, Management and Accounting 2 <1%
Other 15 5%
Unknown 63 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 30 January 2021.
All research outputs
#2,217,242
of 22,457,522 outputs
Outputs from Plant Methods
#108
of 1,056 outputs
Outputs of similar age
#37,386
of 304,330 outputs
Outputs of similar age from Plant Methods
#5
of 39 outputs
Altmetric has tracked 22,457,522 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 1,056 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 89% 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 304,330 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 87% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.