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LC/MS-Based Quantitative Proteomic Analysis of Paraffin-Embedded Archival Melanomas Reveals Potential Proteomic Biomarkers Associated with Metastasis

Overview of attention for article published in PLOS ONE, February 2009
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
81 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
LC/MS-Based Quantitative Proteomic Analysis of Paraffin-Embedded Archival Melanomas Reveals Potential Proteomic Biomarkers Associated with Metastasis
Published in
PLOS ONE, February 2009
DOI 10.1371/journal.pone.0004430
Pubmed ID
Authors

Sharon K. Huang, Marlene M. Darfler, Michael B. Nicholl, Jinsam You, Kerry G. Bemis, Tony J. Tegeler, Mu Wang, Jean-Pierre Wery, Kelly K. Chong, Linhda Nguyen, Richard A. Scolyer, Dave S. B. Hoon

Abstract

Melanoma metastasis status is highly associated with the overall survival of patients; yet, little is known about proteomic changes during melanoma tumor progression. To better understand the changes in protein expression involved in melanoma progression and metastasis, and to identify potential biomarkers, we conducted a global quantitative proteomic analysis on archival metastatic and primary melanomas.

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%
Spain 1 1%
United States 1 1%
Unknown 78 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 25%
Student > Ph. D. Student 19 23%
Professor > Associate Professor 7 9%
Student > Bachelor 6 7%
Student > Doctoral Student 5 6%
Other 11 14%
Unknown 13 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 32%
Medicine and Dentistry 14 17%
Biochemistry, Genetics and Molecular Biology 6 7%
Chemistry 5 6%
Neuroscience 2 2%
Other 11 14%
Unknown 17 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 October 2014.
All research outputs
#7,183,517
of 22,705,019 outputs
Outputs from PLOS ONE
#85,007
of 193,828 outputs
Outputs of similar age
#32,293
of 94,008 outputs
Outputs of similar age from PLOS ONE
#319
of 519 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 193,828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 54% 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 94,008 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 519 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.