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Reproducibility enhancement and differential expression of non predefined functional gene sets in human genome

Overview of attention for article published in BMC Genomics, December 2014
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2 tweeters

Citations

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10 Dimensions

Readers on

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19 Mendeley
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Title
Reproducibility enhancement and differential expression of non predefined functional gene sets in human genome
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-1181
Pubmed ID
Authors

Samoel RM da Silva, Gabriel C Perrone, João M Dinis, Rita MC de Almeida

Abstract

Transcriptogram profiling is a method to present and analyze transcription data in a genome-wide scale that reduces noise and facilitates biological interpretation. An ordered gene list is produced, such that the probability that the genes are functionally associated exponentially decays with their distance on the list. This list presents a biological logic, evinced by the selective enrichment of successive intervals with Gene Ontology terms or KEGG pathways. Transcriptograms are expression profiles obtained by taking the average of gene expression over neighboring genes on this list. Transcriptograms enhance reproducibility and precision for expression measurements of functionally correlated gene sets.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 5%
United States 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Researcher 4 21%
Student > Master 3 16%
Librarian 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 5 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 32%
Biochemistry, Genetics and Molecular Biology 3 16%
Computer Science 3 16%
Social Sciences 1 5%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 5 26%

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 27 December 2014.
All research outputs
#13,736,500
of 17,897,867 outputs
Outputs from BMC Genomics
#6,605
of 9,462 outputs
Outputs of similar age
#204,474
of 315,406 outputs
Outputs of similar age from BMC Genomics
#139
of 192 outputs
Altmetric has tracked 17,897,867 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,462 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.