↓ Skip to main content

Metallomics

Overview of attention for book
Attention for Chapter 10: New Frontiers of Metallomics: Elemental and Species-Specific Analysis and Imaging of Single Cells
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
15 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.
Chapter title
New Frontiers of Metallomics: Elemental and Species-Specific Analysis and Imaging of Single Cells
Chapter number 10
Book title
Metallomics
Published in
Advances in experimental medicine and biology, January 2018
DOI 10.1007/978-3-319-90143-5_10
Pubmed ID
Book ISBNs
978-3-31-990142-8, 978-3-31-990143-5
Authors

Javier Jiménez-Lamana, Joanna Szpunar, Ryszard Łobinski, Jiménez-Lamana, Javier, Szpunar, Joanna, Łobinski, Ryszard

Abstract

Single cells represent the basic building units of life, and thus their study is one the most important areas of research. However, classical analysis of biological cells eludes the investigation of cell-to-cell differences to obtain information about the intracellular distribution since it only provides information by averaging over a huge number of cells. For this reason, chemical analysis of single cells is an expanding area of research nowadays. In this context, metallomics research is going down to the single-cell level, where high-resolution high-sensitive analytical techniques are required. In this chapter, we present the latest developments and applications in the fields of single-cell inductively coupled plasma mass spectrometry (SC-ICP-MS), mass cytometry, laser ablation (LA)-ICP-MS, nanoscale secondary ion mass spectrometry (nanoSIMS), and synchrotron X-ray fluorescence microscopy (SXRF) for single-cell analysis. Moreover, the capabilities and limitations of the current analytical techniques to unravel single-cell metabolomics as well as future perspectives in this field will be discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 13%
Student > Ph. D. Student 2 13%
Other 1 7%
Student > Doctoral Student 1 7%
Unspecified 1 7%
Other 3 20%
Unknown 5 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 20%
Immunology and Microbiology 2 13%
Chemistry 2 13%
Earth and Planetary Sciences 1 7%
Unspecified 1 7%
Other 2 13%
Unknown 4 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 June 2018.
All research outputs
#15,853,124
of 23,556,846 outputs
Outputs from Advances in experimental medicine and biology
#2,577
of 5,038 outputs
Outputs of similar age
#273,004
of 445,130 outputs
Outputs of similar age from Advances in experimental medicine and biology
#114
of 237 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,038 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 445,130 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.