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Systems infection biology: a compartmentalized immune network of pig spleen challenged with Haemophilus parasuis

Overview of attention for article published in BMC Genomics, January 2013
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Title
Systems infection biology: a compartmentalized immune network of pig spleen challenged with Haemophilus parasuis
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-46
Pubmed ID
Authors

Ming Zhao, Xiang-dong Liu, Xin-yun Li, Hong-bo Chen, Hui Jin, Rui Zhou, Meng-jin Zhu, Shu-hong Zhao

Abstract

Network biology (systems biology) approaches are useful tools for elucidating the host infection processes that often accompany complex immune networks. Although many studies have recently focused on Haemophilus parasuis, a model of Gram-negative bacterium, little attention has been paid to the host's immune response to infection. In this article, we use network biology to investigate infection with Haemophilus parasuis in an in vivo pig model.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Russia 1 6%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 18%
Researcher 3 18%
Student > Ph. D. Student 3 18%
Student > Postgraduate 2 12%
Student > Doctoral Student 2 12%
Other 3 18%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 35%
Biochemistry, Genetics and Molecular Biology 4 24%
Medicine and Dentistry 2 12%
Veterinary Science and Veterinary Medicine 1 6%
Sports and Recreations 1 6%
Other 1 6%
Unknown 2 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 January 2013.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Genomics
#9,455
of 10,793 outputs
Outputs of similar age
#252,473
of 284,627 outputs
Outputs of similar age from BMC Genomics
#323
of 362 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 284,627 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 362 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.