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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Readers on

mendeley
162 Mendeley
citeulike
2 CiteULike
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Article details
Title
Proteomic and Functional Genomic Landscape of Receptor Tyrosine Kinase and Ras to Extracellular Signal–Regulated Kinase Signaling
Published in
Science Signaling, October 2011
DOI 10.1126/scisignal.2002029
Pubmed ID
Authors
Abstract

Characterizing the extent and logic of signaling networks is essential to understanding specificity in such physiological and pathophysiological contexts as cell fate decisions and mechanisms of oncogenesis and resistance to chemotherapy. Cell-based RNA interference (RNAi) screens enable the inference of large numbers of genes that regulate signaling pathways, but these screens cannot provide network structure directly. We describe an integrated network around the canonical receptor tyrosine kinase (RTK)-Ras-extracellular signal-regulated kinase (ERK) signaling pathway, generated by combining parallel genome-wide RNAi screens with protein-protein interaction (PPI) mapping by tandem affinity purification-mass spectrometry. We found that only a small fraction of the total number of PPI or RNAi screen hits was isolated under all conditions tested and that most of these represented the known canonical pathway components, suggesting that much of the core canonical ERK pathway is known. Because most of the newly identified regulators are likely cell type- and RTK-specific, our analysis provides a resource for understanding how output through this clinically relevant pathway is regulated in different contexts. We report in vivo roles for several of the previously unknown regulators, including CG10289 and PpV, the Drosophila orthologs of two components of the serine/threonine-protein phosphatase 6 complex; the Drosophila ortholog of TepIV, a glycophosphatidylinositol-linked protein mutated in human cancers; CG6453, a noncatalytic subunit of glucosidase II; and Rtf1, a histone methyltransferase.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 1%
Portugal 2 1%
United Kingdom 2 1%
Korea, Republic of 1 <1%
France 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
Unknown 151 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 51 31%
Student > Ph. D. Student 34 21%
Student > Master 13 8%
Professor > Associate Professor 11 7%
Other 10 6%
Other 28 17%
Unknown 15 9%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 76 47%
Biochemistry, Genetics and Molecular Biology 43 27%
Medicine and Dentistry 8 5%
Neuroscience 5 3%
Chemistry 4 2%
Other 11 7%
Unknown 15 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 01 November 2011.
All research outputs
#4,083,950
of 28,841,988 outputs
Outputs from Science Signaling
#1,282
of 3,490 outputs
Outputs of similar age
#21,059
of 163,047 outputs
Outputs of similar age from Science Signaling
#8
of 73 outputs
Altmetric has tracked 28,841,988 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,490 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one has gotten more attention than average, scoring higher than 63% 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 163,047 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.