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NetPath: a public resource of curated signal transduction pathways

Overview of attention for article published in Genome Biology, January 2010
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2 Wikipedia pages

Citations

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424 Dimensions

Readers on

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287 Mendeley
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22 CiteULike
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3 Connotea
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Title
NetPath: a public resource of curated signal transduction pathways
Published in
Genome Biology, January 2010
DOI 10.1186/gb-2010-11-1-r3
Pubmed ID
Authors

Kumaran Kandasamy, S Sujatha Mohan, Rajesh Raju, Shivakumar Keerthikumar, Ghantasala S Sameer Kumar, Abhilash K Venugopal, Deepthi Telikicherla, J Daniel Navarro, Suresh Mathivanan, Christian Pecquet, Sashi Kanth Gollapudi, Sudhir Gopal Tattikota, Shyam Mohan, Hariprasad Padhukasahasram, Yashwanth Subbannayya, Renu Goel, Harrys KC Jacob, Jun Zhong, Raja Sekhar, Vishalakshi Nanjappa, Lavanya Balakrishnan, Roopashree Subbaiah, YL Ramachandra, B Abdul Rahiman, TS Keshava Prasad, Jian-Xin Lin, Jon CD Houtman, Stephen Desiderio, Jean-Christophe Renauld, Stefan N Constantinescu, Osamu Ohara, Toshio Hirano, Masato Kubo, Sujay Singh, Purvesh Khatri, Sorin Draghici, Gary D Bader, Chris Sander, Warren J Leonard, Akhilesh Pandey

Abstract

We have developed NetPath as a resource of curated human signaling pathways. As an initial step, NetPath provides detailed maps of a number of immune signaling pathways, which include approximately 1,600 reactions annotated from the literature and more than 2,800 instances of transcriptionally regulated genes - all linked to over 5,500 published articles. We anticipate NetPath to become a consolidated resource for human signaling pathways that should enable systems biology approaches.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 287 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
Canada 4 1%
Netherlands 2 <1%
United Kingdom 2 <1%
Brazil 2 <1%
Korea, Republic of 1 <1%
Australia 1 <1%
Portugal 1 <1%
Belgium 1 <1%
Other 3 1%
Unknown 261 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 23%
Researcher 67 23%
Student > Master 30 10%
Student > Bachelor 22 8%
Professor > Associate Professor 14 5%
Other 47 16%
Unknown 40 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 101 35%
Biochemistry, Genetics and Molecular Biology 51 18%
Computer Science 24 8%
Medicine and Dentistry 19 7%
Immunology and Microbiology 9 3%
Other 28 10%
Unknown 55 19%
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 14 February 2023.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#51,785
of 173,741 outputs
Outputs of similar age from Genome Biology
#13
of 18 outputs
Altmetric has tracked 25,374,917 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 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 14th percentile – i.e., 14% 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 173,741 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.