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GPX-Macrophage Expression Atlas: A database for expression profiles of macrophages challenged with a variety of pro-inflammatory, anti-inflammatory, benign and pathogen insults

Overview of attention for article published in BMC Genomics, December 2005
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1 Wikipedia page

Citations

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17 Dimensions

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33 Mendeley
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Title
GPX-Macrophage Expression Atlas: A database for expression profiles of macrophages challenged with a variety of pro-inflammatory, anti-inflammatory, benign and pathogen insults
Published in
BMC Genomics, December 2005
DOI 10.1186/1471-2164-6-178
Pubmed ID
Authors

Graeme R Grimes, Stuart Moodie, John S Beattie, Marie Craigon, Paul Dickinson, Thorsten Forster, Andrew D Livingston, Muriel Mewissen, Kevin A Robertson, Alan J Ross, Garwin Sing, Peter Ghazal

Abstract

Macrophages play an integral role in the host immune system, bridging innate and adaptive immunity. As such, they are finely attuned to extracellular and intracellular stimuli and respond by rapidly initiating multiple signalling cascades with diverse effector functions. The macrophage cell is therefore an experimentally and clinically amenable biological system for the mapping of biological pathways. The goal of the macrophage expression atlas is to systematically investigate the pathway biology and interaction network of macrophages challenged with a variety of insults, in particular via infection and activation with key inflammatory mediators. As an important first step towards this we present a single searchable database resource containing high-throughput macrophage gene expression studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 9%
Unknown 30 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 33%
Student > Ph. D. Student 5 15%
Student > Master 5 15%
Professor 3 9%
Student > Doctoral Student 2 6%
Other 6 18%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 48%
Biochemistry, Genetics and Molecular Biology 6 18%
Medicine and Dentistry 5 15%
Psychology 2 6%
Business, Management and Accounting 1 3%
Other 1 3%
Unknown 2 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 November 2012.
All research outputs
#7,453,350
of 22,786,087 outputs
Outputs from BMC Genomics
#3,597
of 10,647 outputs
Outputs of similar age
#39,277
of 151,408 outputs
Outputs of similar age from BMC Genomics
#3
of 12 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 151,408 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.