↓ Skip to main content

Cancer Metabolomics

Overview of attention for book
Cancer Metabolomics
Springer International Publishing
Attention for Chapter: Methods of Lipidomic Analysis: Extraction, Derivatization, Separation, and Identification of Lipids
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
7 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
Methods of Lipidomic Analysis: Extraction, Derivatization, Separation, and Identification of Lipids
Book title
Cancer Metabolomics
Published in
Advances in experimental medicine and biology, April 2021
DOI 10.1007/978-3-030-51652-9_12
Pubmed ID
Book ISBNs
978-3-03-051651-2, 978-3-03-051652-9
Authors

Ya Xie, Zongyuan Wu, Zuojian Qin, Bangfu Wu, Xin Lv, Fang Wei, Hong Chen, Xie, Ya, Wu, Zongyuan, Qin, Zuojian, Wu, Bangfu, Lv, Xin, Wei, Fang, Chen, Hong

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 43%
Researcher 2 29%
Unknown 2 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 43%
Unspecified 1 14%
Chemistry 1 14%
Unknown 2 29%
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 03 April 2021.
All research outputs
#15,288,160
of 22,736,112 outputs
Outputs from Advances in experimental medicine and biology
#2,490
of 4,925 outputs
Outputs of similar age
#258,967
of 428,415 outputs
Outputs of similar age from Advances in experimental medicine and biology
#67
of 180 outputs
Altmetric has tracked 22,736,112 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 4,925 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 37th percentile – i.e., 37% 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 428,415 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 180 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 52% of its contemporaries.