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Mendeley readers
Attention Score in Context
Title |
Transcriptome Profiling of Whole Blood Cells Identifies PLEK2 and C1QB in Human Melanoma
|
---|---|
Published in |
PLOS ONE, June 2011
|
DOI | 10.1371/journal.pone.0020971 |
Pubmed ID | |
Authors |
Yuchun Luo, Steven Robinson, Junichi Fujita, Lisa Siconolfi, Jay Magidson, Carl K. Edwards, Karl Wassmann, Kathleen Storm, David A. Norris, Danute Bankaitis-Davis, William A. Robinson, Mayumi Fujita |
Abstract |
Developing analytical methodologies to identify biomarkers in easily accessible body fluids is highly valuable for the early diagnosis and management of cancer patients. Peripheral whole blood is a "nucleic acid-rich" and "inflammatory cell-rich" information reservoir and represents systemic processes altered by the presence of cancer cells. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Italy | 1 | 3% |
Unknown | 32 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 29% |
Student > Ph. D. Student | 5 | 15% |
Student > Bachelor | 4 | 12% |
Student > Doctoral Student | 2 | 6% |
Professor | 2 | 6% |
Other | 8 | 24% |
Unknown | 3 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 35% |
Biochemistry, Genetics and Molecular Biology | 8 | 24% |
Medicine and Dentistry | 6 | 18% |
Environmental Science | 2 | 6% |
Social Sciences | 1 | 3% |
Other | 1 | 3% |
Unknown | 4 | 12% |
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 05 November 2012.
All research outputs
#18,319,742
of 22,684,168 outputs
Outputs from PLOS ONE
#153,897
of 193,651 outputs
Outputs of similar age
#96,087
of 113,603 outputs
Outputs of similar age from PLOS ONE
#1,511
of 1,871 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,651 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% 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 113,603 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,871 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.