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Science Translational Medicine

Article Metrics

Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset

Overview of attention for article published in Science Translational Medicine, May 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
28 news outlets
blogs
2 blogs
twitter
129 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
79 Mendeley
Title
Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset
Published in
Science Translational Medicine, May 2021
DOI 10.1126/scitranslmed.abd9898
Pubmed ID
Authors

Ina A. Stelzer, Mohammad S. Ghaemi, Xiaoyuan Han, Kazuo Ando, Julien J. Hédou, Dorien Feyaerts, Laura S. Peterson, Kristen K. Rumer, Eileen S. Tsai, Edward A. Ganio, Dyani K. Gaudillière, Amy S. Tsai, Benjamin Choisy, Lea P. Gaigne, Franck Verdonk, Danielle Jacobsen, Sonia Gavasso, Gavin M. Traber, Mathew Ellenberger, Natalie Stanley, Martin Becker, Anthony Culos, Ramin Fallahzadeh, Ronald J. Wong, Gary L. Darmstadt, Maurice L. Druzin, Virginia D. Winn, Ronald S. Gibbs, Xuefeng B. Ling, Karl Sylvester, Brendan Carvalho, Michael P. Snyder, Gary M. Shaw, David K. Stevenson, Kévin Contrepois, Martin S. Angst, Nima Aghaeepour, Brice Gaudillière

Twitter Demographics

The data shown below were collected from the profiles of 129 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 18%
Student > Ph. D. Student 10 13%
Student > Master 10 13%
Professor 7 9%
Student > Bachelor 5 6%
Other 14 18%
Unknown 19 24%
Readers by discipline Count As %
Medicine and Dentistry 15 19%
Biochemistry, Genetics and Molecular Biology 12 15%
Agricultural and Biological Sciences 7 9%
Immunology and Microbiology 5 6%
Nursing and Health Professions 2 3%
Other 15 19%
Unknown 23 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 311. 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 04 March 2022.
All research outputs
#94,340
of 23,305,591 outputs
Outputs from Science Translational Medicine
#328
of 5,155 outputs
Outputs of similar age
#2,929
of 439,620 outputs
Outputs of similar age from Science Translational Medicine
#9
of 85 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,155 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 82.8. This one has done particularly well, scoring higher than 93% 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 439,620 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 99% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.