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Dissecting the psoriasis transcriptome: inflammatory- and cytokine-driven gene expression in lesions from 163 patients

Overview of attention for article published in BMC Genomics, August 2013
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

patent
1 patent

Citations

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107 Dimensions

Readers on

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98 Mendeley
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Title
Dissecting the psoriasis transcriptome: inflammatory- and cytokine-driven gene expression in lesions from 163 patients
Published in
BMC Genomics, August 2013
DOI 10.1186/1471-2164-14-527
Pubmed ID
Authors

William R Swindell, Andrew Johnston, John J Voorhees, James T Elder, Johann E Gudjonsson

Abstract

Psoriasis lesions are characterized by large-scale shifts in gene expression. Mechanisms that underlie differentially expressed genes (DEGs), however, are not completely understood. We analyzed existing datasets to evaluate genome-wide expression in lesions from 163 psoriasis patients. Our aims were to identify mechanisms that drive differential expression and to characterize heterogeneity among lesions in this large sample.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Denmark 1 1%
Unknown 95 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 26%
Student > Ph. D. Student 20 20%
Student > Master 11 11%
Student > Bachelor 6 6%
Other 5 5%
Other 17 17%
Unknown 14 14%
Readers by discipline Count As %
Medicine and Dentistry 23 23%
Agricultural and Biological Sciences 23 23%
Biochemistry, Genetics and Molecular Biology 16 16%
Immunology and Microbiology 10 10%
Pharmacology, Toxicology and Pharmaceutical Science 6 6%
Other 5 5%
Unknown 15 15%
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 22 August 2019.
All research outputs
#8,533,995
of 25,368,786 outputs
Outputs from BMC Genomics
#3,907
of 11,244 outputs
Outputs of similar age
#71,204
of 210,072 outputs
Outputs of similar age from BMC Genomics
#65
of 182 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% 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 210,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 182 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 61% of its contemporaries.