↓ Skip to main content

Effect of high NEFA concentration on lipid metabolism disorders in hepatocytes based on lipidomics

Overview of attention for article published in Frontiers in Pharmacology, February 2024
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions
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
Effect of high NEFA concentration on lipid metabolism disorders in hepatocytes based on lipidomics
Published in
Frontiers in Pharmacology, February 2024
DOI 10.3389/fphar.2024.1372296
Pubmed ID
Authors

Xinyi Fan, Jie Xu, Yuan Hu, Kui Wang, Yiyi Zhao, Jinyin Cai, Xinyuan Zhang, Binghai Pan, Anqi Xu, Yajing Chen, Songhao Liu, Kangfeng Jiang, Xiaobing Li

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.
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 28 February 2024.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Frontiers in Pharmacology
#12,407
of 19,724 outputs
Outputs of similar age
#118,480
of 147,238 outputs
Outputs of similar age from Frontiers in Pharmacology
#120
of 380 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,724 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% 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 147,238 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 380 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.