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A Computational Approach Identifies Immunogenic Features of Prognosis in Human Cancers

Overview of attention for article published in Frontiers in immunology, December 2018
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1 X user

Citations

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Readers on

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26 Mendeley
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Title
A Computational Approach Identifies Immunogenic Features of Prognosis in Human Cancers
Published in
Frontiers in immunology, December 2018
DOI 10.3389/fimmu.2018.03017
Pubmed ID
Authors

Malini Manoharan, Nitin Mandloi, Sushri Priyadarshini, Ashwini Patil, Rohit Gupta, Laxman Iyer, Ravi Gupta, Amitabha Chaudhuri

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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 27%
Student > Doctoral Student 4 15%
Student > Bachelor 2 8%
Professor 1 4%
Other 1 4%
Other 2 8%
Unknown 9 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 23%
Medicine and Dentistry 5 19%
Immunology and Microbiology 3 12%
Agricultural and Biological Sciences 1 4%
Unknown 11 42%
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 09 December 2018.
All research outputs
#20,983,439
of 25,774,185 outputs
Outputs from Frontiers in immunology
#25,224
of 32,357 outputs
Outputs of similar age
#342,188
of 446,868 outputs
Outputs of similar age from Frontiers in immunology
#500
of 634 outputs
Altmetric has tracked 25,774,185 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,357 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 13th percentile – i.e., 13% 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 446,868 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 634 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.