↓ Skip to main content
What is this page? Embed badge

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 (81st percentile)

Mentioned by

blogs
1 blog
twitter
11 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
306 Mendeley
Summary Blogs Twitter Facebook Dimensions citations
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
26516341
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.

View on publisher site

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 306 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 301 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 19%
Researcher 57 19%
Student > Master 40 13%
Student > Bachelor 33 11%
Student > Doctoral Student 16 5%
Other 51 17%
Unknown 51 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 139 45%
Biochemistry, Genetics and Molecular Biology 70 23%
Medicine and Dentistry 6 2%
Immunology and Microbiology 4 1%
Unspecified 4 1%
Other 16 5%
Unknown 67 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
#2,263,626
of 22,831,537 outputs
Outputs from Plant Methods
#110
of 1,082 outputs
Outputs of similar age
#34,659
of 284,638 outputs
Outputs of similar age from Plant Methods
#2
of 11 outputs
Altmetric has tracked 22,831,537 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 1,082 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 284,638 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 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.

This page is provided by Altmetric.