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Wound healing and inflammation genes revealed by array analysis of 'macrophageless' PU.1 null mice

Overview of attention for article published in Genome Biology, December 2004
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 patent
pinterest
1 Pinner

Citations

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124 Dimensions

Readers on

mendeley
153 Mendeley
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1 Connotea
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Title
Wound healing and inflammation genes revealed by array analysis of 'macrophageless' PU.1 null mice
Published in
Genome Biology, December 2004
DOI 10.1186/gb-2004-6-1-r5
Pubmed ID
Authors

Lisa Cooper, Claire Johnson, Frank Burslem, Paul Martin

Abstract

Wound healing is a complex process requiring the collaborative efforts of different tissues and cell lineages, and involving the coordinated interplay of several phases of proliferation, migration, matrix synthesis and contraction. Tissue damage also triggers a robust influx of inflammatory leukocytes to the wound site that play key roles in clearing the wound of invading microbes but also release signals that may be detrimental to repair and lead to fibrosis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Portugal 1 <1%
France 1 <1%
Germany 1 <1%
India 1 <1%
Japan 1 <1%
Unknown 146 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 24%
Researcher 26 17%
Student > Bachelor 17 11%
Student > Master 16 10%
Student > Doctoral Student 12 8%
Other 22 14%
Unknown 24 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 38%
Biochemistry, Genetics and Molecular Biology 33 22%
Medicine and Dentistry 20 13%
Immunology and Microbiology 7 5%
Engineering 3 2%
Other 8 5%
Unknown 24 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 October 2013.
All research outputs
#8,261,140
of 25,371,288 outputs
Outputs from Genome Biology
#3,444
of 4,467 outputs
Outputs of similar age
#38,289
of 152,735 outputs
Outputs of similar age from Genome Biology
#17
of 28 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 22nd percentile – i.e., 22% 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 152,735 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.