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A panel of Transcription factors identified by data mining can predict the prognosis of head and neck squamous cell carcinoma

Overview of attention for article published in Cancer Cell International, November 2019
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
4 Mendeley
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Title
A panel of Transcription factors identified by data mining can predict the prognosis of head and neck squamous cell carcinoma
Published in
Cancer Cell International, November 2019
DOI 10.1186/s12935-019-1024-6
Pubmed ID
Authors

Boxin Zhang, Haihui Wang, Ziyan Guo, Xinhai Zhang

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Student > Ph. D. Student 1 25%
Student > Postgraduate 1 25%
Student > Doctoral Student 1 25%
Readers by discipline Count As %
Medicine and Dentistry 2 50%
Computer Science 1 25%
Biochemistry, Genetics and Molecular Biology 1 25%

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 04 December 2019.
All research outputs
#13,385,409
of 15,161,635 outputs
Outputs from Cancer Cell International
#502
of 711 outputs
Outputs of similar age
#286,062
of 345,776 outputs
Outputs of similar age from Cancer Cell International
#96
of 162 outputs
Altmetric has tracked 15,161,635 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 711 research outputs from this source. They receive a mean Attention Score of 2.4. 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 345,776 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 162 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.