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Large-scale proteomic identification of S100 proteins in breast cancer tissues

Overview of attention for article published in BMC Cancer, September 2010
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
29 Mendeley
citeulike
1 CiteULike
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Title
Large-scale proteomic identification of S100 proteins in breast cancer tissues
Published in
BMC Cancer, September 2010
DOI 10.1186/1471-2407-10-476
Pubmed ID
Authors

Patrizia Cancemi, Gianluca Di Cara, Nadia Ninfa Albanese, Francesca Costantini, Maria Rita Marabeti, Rosa Musso, Carmelo Lupo, Elena Roz, Ida Pucci-Minafra

Abstract

Attempts to reduce morbidity and mortality in breast cancer is based on efforts to identify novel biomarkers to support prognosis and therapeutic choices. The present study has focussed on S100 proteins as a potentially promising group of markers in cancer development and progression. One reason of interest in this family of proteins is because the majority of the S100 genes are clustered on a region of human chromosome 1q21 that is prone to genomic rearrangements. Moreover, there is increasing evidence that S100 proteins are often up-regulated in many cancers, including breast, and this is frequently associated with tumour progression.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 10%
Professor 3 10%
Researcher 3 10%
Student > Postgraduate 3 10%
Professor > Associate Professor 3 10%
Other 7 24%
Unknown 7 24%
Readers by discipline Count As %
Medicine and Dentistry 12 41%
Agricultural and Biological Sciences 5 17%
Chemistry 2 7%
Biochemistry, Genetics and Molecular Biology 2 7%
Unknown 8 28%
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 08 November 2017.
All research outputs
#7,170,522
of 22,665,794 outputs
Outputs from BMC Cancer
#1,935
of 8,243 outputs
Outputs of similar age
#33,064
of 94,435 outputs
Outputs of similar age from BMC Cancer
#15
of 47 outputs
Altmetric has tracked 22,665,794 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 8,243 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 75% 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 94,435 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 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.