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Non-targeted metabolomics and lipidomics LC–MS data from maternal plasma of 180 healthy pregnant women

Overview of attention for article published in Giga Science, April 2015
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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 (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

blogs
1 blog
twitter
9 X users
peer_reviews
1 peer review site
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
65 Mendeley
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Title
Non-targeted metabolomics and lipidomics LC–MS data from maternal plasma of 180 healthy pregnant women
Published in
Giga Science, April 2015
DOI 10.1186/s13742-015-0054-9
Pubmed ID
Authors

Hemi Luan, Nan Meng, Ping Liu, Jin Fu, Xiaomin Chen, Weiqiao Rao, Hui Jiang, Xun Xu, Zongwei Cai, Jun Wang

Abstract

Metabolomics has the potential to be a powerful and sensitive approach for investigating the low molecular weight metabolite profiles present in maternal fluids and their role in pregnancy. In this Data Note, LC-MS metabolome, lipidome and carnitine profiling data were collected from 180 healthy pregnant women, representing six time points spanning all three trimesters, and providing sufficient coverage to model the progression of normal pregnancy. As a relatively large scale, real-world dataset with robust numbers of quality control samples, the data are expected to prove useful for algorithm optimization and development, with the potential to augment studies into abnormal pregnancy. All data and ISA-TAB format enriched metadata are available for download in the MetaboLights and GigaScience databases.

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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Hong Kong 1 2%
Brazil 1 2%
Unknown 62 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 20%
Student > Master 12 18%
Student > Ph. D. Student 11 17%
Student > Bachelor 6 9%
Student > Doctoral Student 4 6%
Other 10 15%
Unknown 9 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 26%
Biochemistry, Genetics and Molecular Biology 12 18%
Medicine and Dentistry 7 11%
Chemistry 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 11 17%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 13 March 2016.
All research outputs
#2,395,684
of 25,374,917 outputs
Outputs from Giga Science
#484
of 1,168 outputs
Outputs of similar age
#30,265
of 279,975 outputs
Outputs of similar age from Giga Science
#9
of 19 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has gotten more attention than average, scoring higher than 58% 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 279,975 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 89% of its contemporaries.
We're also able to compare this research output to 19 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 52% of its contemporaries.