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Mendeley readers
Attention Score in Context
Title |
Lipidomics unveils the complexity of the lipidome in metabolic diseases
|
---|---|
Published in |
Clinical and Translational Medicine, January 2018
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DOI | 10.1186/s40169-018-0182-9 |
Pubmed ID | |
Authors |
Todd A. Lydic, Young-Hwa Goo |
Abstract |
Dysregulation of lipid metabolism is responsible for pathologies of human diseases including metabolic diseases. Recent advances in lipidomics analysis allow for the targeted and untargeted identification of lipid species and for their quantification in normal and diseased conditions. Herein, this review provides a brief introduction to lipidomics, highlights its application to characterize the lipidome at the cellular and physiological levels under different biological conditions, and discusses the potential for the use of lipidomics in the discovery of biomarkers. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 214 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 48 | 22% |
Researcher | 40 | 19% |
Student > Master | 28 | 13% |
Student > Bachelor | 16 | 7% |
Student > Doctoral Student | 10 | 5% |
Other | 18 | 8% |
Unknown | 54 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 52 | 24% |
Agricultural and Biological Sciences | 23 | 11% |
Chemistry | 19 | 9% |
Medicine and Dentistry | 11 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 10 | 5% |
Other | 29 | 14% |
Unknown | 70 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 27 May 2021.
All research outputs
#2,230,375
of 25,848,323 outputs
Outputs from Clinical and Translational Medicine
#90
of 1,083 outputs
Outputs of similar age
#49,912
of 452,763 outputs
Outputs of similar age from Clinical and Translational Medicine
#4
of 9 outputs
Altmetric has tracked 25,848,323 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,083 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done particularly well, scoring higher than 91% 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 452,763 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 88% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.