↓ Skip to main content

A dynamic network of transcription in LPS-treated human subjects.

Overview of attention for article published in BMC Systems Biology, January 2009
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
51 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A dynamic network of transcription in LPS-treated human subjects.
Published in
BMC Systems Biology, January 2009
DOI 10.1186/1752-0509-3-78
Pubmed ID
Authors

Junhee Seok, Wenzhong Xiao, Lyle L Moldawer, Ronald W Davis, Markus W Covert

Abstract

Understanding the transcriptional regulatory networks that map out the coordinated dynamic responses of signaling proteins, transcription factors and target genes over time would represent a significant advance in the application of genome wide expression analysis. The primary challenge is monitoring transcription factor activities over time, which is not yet available at the large scale. Instead, there have been several developments to estimate activities computationally. For example, Network Component Analysis (NCA) is an approach that can predict transcription factor activities over time as well as the relative regulatory influence of factors on each target gene.

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
Netherlands 1 2%
Unknown 48 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 33%
Student > Ph. D. Student 15 29%
Professor > Associate Professor 5 10%
Other 4 8%
Student > Postgraduate 3 6%
Other 6 12%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 43%
Medicine and Dentistry 8 16%
Engineering 4 8%
Immunology and Microbiology 4 8%
Biochemistry, Genetics and Molecular Biology 4 8%
Other 6 12%
Unknown 3 6%

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 21 January 2010.
All research outputs
#2,017,509
of 3,628,259 outputs
Outputs from BMC Systems Biology
#277
of 595 outputs
Outputs of similar age
#1,477,477
of 2,726,505 outputs
Outputs of similar age from BMC Systems Biology
#261
of 575 outputs
Altmetric has tracked 3,628,259 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 595 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 43rd percentile – i.e., 43% 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 2,726,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 575 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.