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Proteomic analysis identifies MMP-9, DJ-1 and A1BG as overexpressed proteins in pancreatic juice from pancreatic ductal adenocarcinoma patients

Overview of attention for article published in BMC Cancer, August 2008
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

patent
3 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
150 Dimensions

Readers on

mendeley
66 Mendeley
connotea
1 Connotea
Title
Proteomic analysis identifies MMP-9, DJ-1 and A1BG as overexpressed proteins in pancreatic juice from pancreatic ductal adenocarcinoma patients
Published in
BMC Cancer, August 2008
DOI 10.1186/1471-2407-8-241
Pubmed ID
Authors

Mei Tian, Ya-Zhou Cui, Guan-Hua Song, Mei-Juan Zong, Xiao-Yan Zhou, Yu Chen, Jin-Xiang Han

Abstract

There is an urgent need to discover more sensitive and specific biomarkers to improve early diagnosis and screen high-risk patients for pancreatic ductal adenocarcinoma (PDAC). Pancreatic juice is an ideal specimen for PDAC biomarkers discovery, because it is an exceptionally rich source of proteins released from pancreatic cancer cells.

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Italy 1 2%
Slovenia 1 2%
Unknown 63 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 32%
Researcher 17 26%
Student > Master 6 9%
Student > Bachelor 5 8%
Professor > Associate Professor 4 6%
Other 9 14%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 41%
Medicine and Dentistry 12 18%
Biochemistry, Genetics and Molecular Biology 9 14%
Chemistry 4 6%
Immunology and Microbiology 3 5%
Other 6 9%
Unknown 5 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 February 2017.
All research outputs
#1,147,302
of 9,539,534 outputs
Outputs from BMC Cancer
#272
of 3,970 outputs
Outputs of similar age
#39,394
of 263,345 outputs
Outputs of similar age from BMC Cancer
#9
of 84 outputs
Altmetric has tracked 9,539,534 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,970 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 92% 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 263,345 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 84% of its contemporaries.
We're also able to compare this research output to 84 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.