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Do nuclear magnetic resonance (NMR)-based metabolomics improve the prediction of pregnancy-related disorders? Findings from a UK birth cohort with independent validation

Overview of attention for article published in BMC Medicine, November 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
17 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
100 Mendeley
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Title
Do nuclear magnetic resonance (NMR)-based metabolomics improve the prediction of pregnancy-related disorders? Findings from a UK birth cohort with independent validation
Published in
BMC Medicine, November 2020
DOI 10.1186/s12916-020-01819-z
Pubmed ID
Authors

Nancy McBride, Paul Yousefi, Sara L. White, Lucilla Poston, Diane Farrar, Naveed Sattar, Scott M. Nelson, John Wright, Dan Mason, Matthew Suderman, Caroline Relton, Deborah A. Lawlor

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 9%
Student > Bachelor 8 8%
Student > Postgraduate 7 7%
Student > Master 7 7%
Student > Ph. D. Student 6 6%
Other 13 13%
Unknown 50 50%
Readers by discipline Count As %
Nursing and Health Professions 17 17%
Medicine and Dentistry 10 10%
Biochemistry, Genetics and Molecular Biology 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Agricultural and Biological Sciences 2 2%
Other 11 11%
Unknown 54 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 01 December 2020.
All research outputs
#3,302,090
of 24,788,795 outputs
Outputs from BMC Medicine
#1,979
of 3,843 outputs
Outputs of similar age
#89,572
of 519,992 outputs
Outputs of similar age from BMC Medicine
#70
of 121 outputs
Altmetric has tracked 24,788,795 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,843 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.7. This one is in the 48th percentile – i.e., 48% 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 519,992 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 82% of its contemporaries.
We're also able to compare this research output to 121 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.