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An immune clock of human pregnancy

Overview of attention for article published in Science Immunology, September 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 296)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
29 news outlets
blogs
2 blogs
twitter
257 tweeters
facebook
5 Facebook pages
googleplus
2 Google+ users
video
1 video uploader

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
222 Mendeley
Title
An immune clock of human pregnancy
Published in
Science Immunology, September 2017
DOI 10.1126/sciimmunol.aan2946
Pubmed ID
Authors

Nima Aghaeepour, Edward A. Ganio, David Mcilwain, Amy S. Tsai, Martha Tingle, Sofie Van Gassen, Dyani K. Gaudilliere, Quentin Baca, Leslie McNeil, Robin Okada, Mohammad S. Ghaemi, David Furman, Ronald J. Wong, Virginia D. Winn, Maurice L. Druzin, Yaser Y. El-Sayed, Cecele Quaintance, Ronald Gibbs, Gary L. Darmstadt, Gary M. Shaw, David K. Stevenson, Robert Tibshirani, Garry P. Nolan, David B. Lewis, Martin S. Angst, Brice Gaudilliere

Abstract

The maintenance of pregnancy relies on finely tuned immune adaptations. We demonstrate that these adaptations are precisely timed, reflecting an immune clock of pregnancy in women delivering at term. Using mass cytometry, the abundance and functional responses of all major immune cell subsets were quantified in serial blood samples collected throughout pregnancy. Cell signaling-based Elastic Net, a regularized regression method adapted from the elastic net algorithm, was developed to infer and prospectively validate a predictive model of interrelated immune events that accurately captures the chronology of pregnancy. Model components highlighted existing knowledge and revealed previously unreported biology, including a critical role for the interleukin-2-dependent STAT5ab signaling pathway in modulating T cell function during pregnancy. These findings unravel the precise timing of immunological events occurring during a term pregnancy and provide the analytical framework to identify immunological deviations implicated in pregnancy-related pathologies.

Twitter Demographics

The data shown below were collected from the profiles of 257 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 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 222 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 25%
Researcher 48 22%
Unspecified 30 14%
Student > Master 20 9%
Student > Bachelor 15 7%
Other 53 24%
Readers by discipline Count As %
Unspecified 42 19%
Agricultural and Biological Sciences 41 18%
Biochemistry, Genetics and Molecular Biology 36 16%
Medicine and Dentistry 35 16%
Immunology and Microbiology 32 14%
Other 36 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 376. 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 June 2019.
All research outputs
#27,676
of 13,244,613 outputs
Outputs from Science Immunology
#2
of 296 outputs
Outputs of similar age
#1,486
of 266,557 outputs
Outputs of similar age from Science Immunology
#1
of 20 outputs
Altmetric has tracked 13,244,613 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 296 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 54.7. This one has done particularly well, scoring higher than 99% 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 266,557 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 20 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 95% of its contemporaries.