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Potential predictive plasma biomarkers for cervical cancer by 2D-DIGE proteomics and Ingenuity Pathway Analysis

Overview of attention for article published in Tumor Biology, November 2014
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1 X user

Citations

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Readers on

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60 Mendeley
Title
Potential predictive plasma biomarkers for cervical cancer by 2D-DIGE proteomics and Ingenuity Pathway Analysis
Published in
Tumor Biology, November 2014
DOI 10.1007/s13277-014-2772-5
Pubmed ID
Authors

Xia Guo, Yi Hao, Mayila Kamilijiang, Axiangu Hasimu, Jianlin Yuan, Guizhen Wu, Halidan Reyimu, Nafeisha Kadeer, Abulizi Abudula

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Student > Master 8 13%
Researcher 7 12%
Student > Bachelor 6 10%
Professor > Associate Professor 4 7%
Other 7 12%
Unknown 15 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 28%
Agricultural and Biological Sciences 9 15%
Medicine and Dentistry 7 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Immunology and Microbiology 2 3%
Other 4 7%
Unknown 19 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 June 2015.
All research outputs
#20,280,315
of 22,813,792 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#303,232
of 362,046 outputs
Outputs of similar age from Tumor Biology
#90
of 139 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 362,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.