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Proteomics, pathway array and signaling network-based medicine in cancer

Overview of attention for article published in Cell Division, October 2009
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About this Attention Score

  • Among the highest-scoring outputs from this source (#31 of 160)

Mentioned by

patent
5 patents

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
81 Mendeley
citeulike
2 CiteULike
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Title
Proteomics, pathway array and signaling network-based medicine in cancer
Published in
Cell Division, October 2009
DOI 10.1186/1747-1028-4-20
Pubmed ID
Authors

David Y Zhang, Fei Ye, Ling Gao, Xiaoliang Liu, Xin Zhao, Yufang Che, Hongxia Wang, Libo Wang, Josephine Wu, Dong Song, Wei Liu, Hong Xu, Bo Jiang, Weijia Zhang, Jinhua Wang, Peng Lee

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Hungary 1 1%
Ukraine 1 1%
Unknown 78 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 31%
Student > Ph. D. Student 15 19%
Student > Master 9 11%
Professor > Associate Professor 7 9%
Student > Bachelor 5 6%
Other 14 17%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 37%
Biochemistry, Genetics and Molecular Biology 19 23%
Medicine and Dentistry 10 12%
Computer Science 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 6 7%
Unknown 9 11%
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 02 August 2022.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Cell Division
#31
of 160 outputs
Outputs of similar age
#38,456
of 107,983 outputs
Outputs of similar age from Cell Division
#1
of 1 outputs
Altmetric has tracked 25,373,627 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 160 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 64% 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 107,983 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them