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Population-based plasma lipidomics reveals developmental changes in metabolism and signatures of obesity risk: a mother-offspring cohort study

Overview of attention for article published in BMC Medicine, July 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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9 X users

Citations

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16 Dimensions

Readers on

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53 Mendeley
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Title
Population-based plasma lipidomics reveals developmental changes in metabolism and signatures of obesity risk: a mother-offspring cohort study
Published in
BMC Medicine, July 2022
DOI 10.1186/s12916-022-02432-y
Pubmed ID
Authors

Sartaj Ahmad Mir, Li Chen, Satvika Burugupalli, Bo Burla, Shanshan Ji, Adam Alexander T. Smith, Kothandaraman Narasimhan, Adaikalavan Ramasamy, Karen Mei-Ling Tan, Kevin Huynh, Corey Giles, Ding Mei, Gerard Wong, Fabian Yap, Kok Hian Tan, Fiona Collier, Richard Saffery, Peter Vuillermin, Anne K. Bendt, David Burgner, Anne-Louise Ponsonby, Yung Seng Lee, Yap Seng Chong, Peter D. Gluckman, Johan G. Eriksson, Peter J. Meikle, Markus R. Wenk, Neerja Karnani

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 9%
Researcher 5 9%
Student > Doctoral Student 3 6%
Other 3 6%
Student > Master 3 6%
Other 5 9%
Unknown 29 55%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 9%
Biochemistry, Genetics and Molecular Biology 4 8%
Medicine and Dentistry 3 6%
Nursing and Health Professions 2 4%
Unspecified 1 2%
Other 6 11%
Unknown 32 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 August 2022.
All research outputs
#7,060,727
of 25,837,817 outputs
Outputs from BMC Medicine
#2,697
of 4,075 outputs
Outputs of similar age
#122,978
of 435,144 outputs
Outputs of similar age from BMC Medicine
#50
of 98 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,075 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.8. This one is in the 33rd percentile – i.e., 33% 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 435,144 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 71% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.