↓ Skip to main content

An interactive reference framework for modeling a dynamic immune system

Overview of attention for article published in Science, July 2015
Altmetric Badge

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 (93rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
20 tweeters
facebook
1 Facebook page

Readers on

mendeley
34 Mendeley
citeulike
6 CiteULike
Title
An interactive reference framework for modeling a dynamic immune system
Published in
Science, July 2015
DOI 10.1126/science.1259425
Pubmed ID
Authors

Matthew H. Spitzer, Pier Federico Gherardini, Gabriela K. Fragiadakis, Nupur Bhattacharya, Robert T. Yuan, Andrew N. Hotson, Rachel Finck, Yaron Carmi, Eli R. Zunder, Wendy J. Fantl, Sean C. Bendall, Edgar G. Engleman, Garry P. Nolan, Spitzer, Matthew H, Gherardini, Pier Federico, Fragiadakis, Gabriela K, Bhattacharya, Nupur, Yuan, Robert T, Hotson, Andrew N, Finck, Rachel, Carmi, Yaron, Zunder, Eli R, Fantl, Wendy J, Bendall, Sean C, Engleman, Edgar G, Nolan, Garry P

Abstract

Immune cells function in an interacting hierarchy that coordinates the activities of various cell types according to genetic and environmental contexts. We developed graphical approaches to construct an extensible immune reference map from mass cytometry data of cells from different organs, incorporating landmark cell populations as flags on the map to compare cells from distinct samples. The maps recapitulated canonical cellular phenotypes and revealed reproducible, tissue-specific deviations. The approach revealed influences of genetic variation and circadian rhythms on immune system structure, enabled direct comparisons of murine and human blood cell phenotypes, and even enabled archival fluorescence-based flow cytometry data to be mapped onto the reference framework. This foundational reference map provides a working definition of systemic immune organization to which new data can be integrated to reveal deviations driven by genetics, environment, or pathology.

Twitter Demographics

The data shown below were collected from the profiles of 20 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 38%
Researcher 11 32%
Student > Postgraduate 5 15%
Other 3 9%
Lecturer > Senior Lecturer 1 3%
Other 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 47%
Immunology and Microbiology 7 21%
Biochemistry, Genetics and Molecular Biology 5 15%
Medicine and Dentistry 2 6%
Chemical Engineering 1 3%
Other 3 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 03 April 2017.
All research outputs
#446,252
of 8,612,446 outputs
Outputs from Science
#10,506
of 42,385 outputs
Outputs of similar age
#16,003
of 228,983 outputs
Outputs of similar age from Science
#380
of 767 outputs
Altmetric has tracked 8,612,446 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 42,385 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.2. This one has done well, scoring higher than 75% 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 228,983 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 93% of its contemporaries.
We're also able to compare this research output to 767 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 50% of its contemporaries.