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Multiomic analysis of dark tea extract on glycolipid metabolic disorders in db/db mice

Overview of attention for article published in Frontiers in Nutrition, September 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Multiomic analysis of dark tea extract on glycolipid metabolic disorders in db/db mice
Published in
Frontiers in Nutrition, September 2022
DOI 10.3389/fnut.2022.1006517
Pubmed ID
Authors

Caiqiong Wang, Minghai Hu, Yuhang Yi, Xinnian Wen, Chenghao Lv, Meng Shi, Chaoxi Zeng

X Demographics

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.
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 %
Professor 1 14%
Student > Ph. D. Student 1 14%
Student > Bachelor 1 14%
Student > Master 1 14%
Unknown 3 43%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 29%
Psychology 1 14%
Unknown 4 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 January 2024.
All research outputs
#15,019,502
of 25,734,859 outputs
Outputs from Frontiers in Nutrition
#2,543
of 6,996 outputs
Outputs of similar age
#182,635
of 434,377 outputs
Outputs of similar age from Frontiers in Nutrition
#192
of 657 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has gotten more attention than average, scoring higher than 63% 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 434,377 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 657 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 70% of its contemporaries.