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Novel biomarkers for pre-eclampsia detected using metabolomics and machine learning

Overview of attention for article published in Metabolomics, September 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 1,295)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
patent
2 patents

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
120 Mendeley
citeulike
1 CiteULike
Title
Novel biomarkers for pre-eclampsia detected using metabolomics and machine learning
Published in
Metabolomics, September 2005
DOI 10.1007/s11306-005-0003-1
Authors

Louise C. Kenny, Warwick B. Dunn, David I. Ellis, Jenny Myers, Philip N. Baker, Douglas B. Kell

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Canada 2 2%
Brazil 1 <1%
Portugal 1 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Unknown 112 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 24%
Researcher 20 17%
Student > Bachelor 13 11%
Student > Master 10 8%
Student > Doctoral Student 9 8%
Other 24 20%
Unknown 15 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 19%
Chemistry 15 13%
Medicine and Dentistry 14 12%
Biochemistry, Genetics and Molecular Biology 13 11%
Computer Science 11 9%
Other 24 20%
Unknown 20 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 17 August 2018.
All research outputs
#1,202,134
of 22,846,662 outputs
Outputs from Metabolomics
#39
of 1,295 outputs
Outputs of similar age
#1,604
of 59,132 outputs
Outputs of similar age from Metabolomics
#1
of 2 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,295 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 96% 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 59,132 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them