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Clinical recovery from surgery correlates with single-cell immune signatures.

Overview of attention for article published in Science Translational Medicine, September 2014
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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 (93rd percentile)

Mentioned by

news
15 news outlets
blogs
1 blog
twitter
55 tweeters
weibo
1 weibo user
facebook
2 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
134 Dimensions

Readers on

mendeley
266 Mendeley
citeulike
1 CiteULike
Title
Clinical recovery from surgery correlates with single-cell immune signatures.
Published in
Science Translational Medicine, September 2014
DOI 10.1126/scitranslmed.3009701
Pubmed ID
Authors

Brice Gaudillière, Gabriela K. Fragiadakis, Robert V. Bruggner, Monica Nicolau, Rachel Finck, Martha Tingle, Julian Silva, Edward A. Ganio, Christine G. Yeh, William J. Maloney, James I. Huddleston, Stuart B. Goodman, Mark M. Davis, Sean C. Bendall, Wendy J. Fantl, Martin S. Angst, Garry P. Nolan, Gaudillière B, Fragiadakis GK, Bruggner RV, Nicolau M, Finck R, Tingle M, Silva J, Ganio EA, Yeh CG, Maloney WJ, Huddleston JI, Goodman SB, Davis MM, Bendall SC, Fantl WJ, Angst MS, Nolan GP

Abstract

Delayed recovery from surgery causes personal suffering and substantial societal and economic costs. Whether immune mechanisms determine recovery after surgical trauma remains ill-defined. Single-cell mass cytometry was applied to serial whole-blood samples from 32 patients undergoing hip replacement to comprehensively characterize the phenotypic and functional immune response to surgical trauma. The simultaneous analysis of 14,000 phosphorylation events in precisely phenotyped immune cell subsets revealed uniform signaling responses among patients, demarcating a surgical immune signature. When regressed against clinical parameters of surgical recovery, including functional impairment and pain, strong correlations were found with STAT3 (signal transducer and activator of transcription), CREB (adenosine 3',5'-monophosphate response element-binding protein), and NF-κB (nuclear factor κB) signaling responses in subsets of CD14(+) monocytes (R = 0.7 to 0.8, false discovery rate <0.01). These sentinel results demonstrate the capacity of mass cytometry to survey the human immune system in a relevant clinical context. The mechanistically derived immune correlates point to diagnostic signatures, and potential therapeutic targets, that could postoperatively improve patient recovery.

Twitter Demographics

The data shown below were collected from the profiles of 55 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 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 3%
United Kingdom 3 1%
Denmark 2 <1%
Switzerland 1 <1%
Mexico 1 <1%
Japan 1 <1%
Israel 1 <1%
Belgium 1 <1%
Korea, Republic of 1 <1%
Other 1 <1%
Unknown 246 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 77 29%
Student > Ph. D. Student 65 24%
Student > Master 27 10%
Other 18 7%
Professor > Associate Professor 16 6%
Other 63 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 36%
Medicine and Dentistry 60 23%
Immunology and Microbiology 32 12%
Biochemistry, Genetics and Molecular Biology 28 11%
Unspecified 22 8%
Other 29 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 151. 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 19 November 2015.
All research outputs
#77,651
of 12,132,196 outputs
Outputs from Science Translational Medicine
#314
of 3,390 outputs
Outputs of similar age
#1,576
of 218,597 outputs
Outputs of similar age from Science Translational Medicine
#8
of 129 outputs
Altmetric has tracked 12,132,196 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 3,390 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.3. This one has done particularly well, scoring higher than 90% 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 218,597 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 129 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 93% of its contemporaries.