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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 (91st percentile)

Mentioned by

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

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
74 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 130 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Master 10 14%
Student > Ph. D. Student 9 12%
Professor 7 9%
Student > Bachelor 4 5%
Other 13 18%
Unknown 17 23%
Readers by discipline Count As %
Medicine and Dentistry 13 18%
Biochemistry, Genetics and Molecular Biology 12 16%
Agricultural and Biological Sciences 7 9%
Immunology and Microbiology 5 7%
Unspecified 3 4%
Other 13 18%
Unknown 21 28%

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
#83,362
of 21,924,413 outputs
Outputs from Science Translational Medicine
#293
of 4,985 outputs
Outputs of similar age
#2,610
of 342,446 outputs
Outputs of similar age from Science Translational Medicine
#8
of 85 outputs
Altmetric has tracked 21,924,413 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 4,985 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 79.6. This one has done particularly well, scoring higher than 94% 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 342,446 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 91% of its contemporaries.