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Placental 13C-DHA metabolism and relationship with maternal BMI, glycemia and birthweight

Overview of attention for article published in Molecular Medicine, August 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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5 X users

Citations

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9 Dimensions

Readers on

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27 Mendeley
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Title
Placental 13C-DHA metabolism and relationship with maternal BMI, glycemia and birthweight
Published in
Molecular Medicine, August 2021
DOI 10.1186/s10020-021-00344-w
Pubmed ID
Authors

Oliver C. Watkins, Preben Selvam, Reshma Appukuttan Pillai, Victoria K. B. Cracknell-Hazra, Hannah E. J. Yong, Neha Sharma, Amaury Cazenave-Gassiot, Anne K. Bendt, Keith M. Godfrey, Rohan M. Lewis, Markus R. Wenk, Shiao-Yng Chan

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 11%
Student > Bachelor 2 7%
Other 1 4%
Student > Master 1 4%
Professor > Associate Professor 1 4%
Other 1 4%
Unknown 18 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 11%
Medicine and Dentistry 2 7%
Social Sciences 1 4%
Agricultural and Biological Sciences 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 18 67%
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 22 September 2021.
All research outputs
#6,310,433
of 23,310,485 outputs
Outputs from Molecular Medicine
#311
of 1,162 outputs
Outputs of similar age
#127,351
of 431,785 outputs
Outputs of similar age from Molecular Medicine
#3
of 26 outputs
Altmetric has tracked 23,310,485 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 1,162 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 73% 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 431,785 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 70% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.