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SignaLink 2 – a signaling pathway resource with multi-layered regulatory networks

Overview of attention for article published in BMC Systems Biology, January 2013
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2 X users

Citations

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186 Dimensions

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171 Mendeley
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5 CiteULike
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Title
SignaLink 2 – a signaling pathway resource with multi-layered regulatory networks
Published in
BMC Systems Biology, January 2013
DOI 10.1186/1752-0509-7-7
Pubmed ID
Authors

Dávid Fazekas, Mihály Koltai, Dénes Türei, Dezső Módos, Máté Pálfy, Zoltán Dúl, Lilian Zsákai, Máté Szalay-Bekő, Katalin Lenti, Illés J Farkas, Tibor Vellai, Péter Csermely, Tamás Korcsmáros

Abstract

Signaling networks in eukaryotes are made up of upstream and downstream subnetworks. The upstream subnetwork contains the intertwined network of signaling pathways, while the downstream regulatory part contains transcription factors and their binding sites on the DNA as well as microRNAs and their mRNA targets. Currently, most signaling and regulatory databases contain only a subsection of this network, making comprehensive analyses highly time-consuming and dependent on specific data handling expertise. The need for detailed mapping of signaling systems is also supported by the fact that several drug development failures were caused by undiscovered cross-talk or regulatory effects of drug targets. We previously created a uniformly curated signaling pathway resource, SignaLink, to facilitate the analysis of pathway cross-talks. Here, we present SignaLink 2, which significantly extends the coverage and applications of its predecessor.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 3 2%
United States 3 2%
United Kingdom 2 1%
Brazil 2 1%
Portugal 1 <1%
Netherlands 1 <1%
Spain 1 <1%
Italy 1 <1%
Unknown 157 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 24%
Student > Ph. D. Student 29 17%
Student > Master 25 15%
Student > Bachelor 16 9%
Student > Doctoral Student 11 6%
Other 26 15%
Unknown 23 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 33%
Biochemistry, Genetics and Molecular Biology 33 19%
Computer Science 15 9%
Medicine and Dentistry 12 7%
Chemistry 6 4%
Other 19 11%
Unknown 30 18%
Attention Score in Context

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 04 March 2013.
All research outputs
#15,261,106
of 22,693,205 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#184,060
of 284,846 outputs
Outputs of similar age from BMC Systems Biology
#29
of 56 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 284,846 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 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.