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A pan-kidney cancer study identifies subtype specific perturbations on pathways with potential drivers in renal cell carcinoma

Overview of attention for article published in BMC Medical Genomics, December 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
7 Mendeley
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Title
A pan-kidney cancer study identifies subtype specific perturbations on pathways with potential drivers in renal cell carcinoma
Published in
BMC Medical Genomics, December 2020
DOI 10.1186/s12920-020-00827-5
Pubmed ID
Authors

Xiaohui Zhan, Yusong Liu, Christina Y. Yu, Tian-Fu Wang, Jie Zhang, Dong Ni, Kun Huang

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Researcher 1 14%
Professor 1 14%
Unknown 3 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Psychology 1 14%
Medicine and Dentistry 1 14%
Unknown 3 43%

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 March 2022.
All research outputs
#6,876,241
of 21,352,585 outputs
Outputs from BMC Medical Genomics
#342
of 1,133 outputs
Outputs of similar age
#189,525
of 485,062 outputs
Outputs of similar age from BMC Medical Genomics
#24
of 99 outputs
Altmetric has tracked 21,352,585 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 1,133 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 69% 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 485,062 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 60% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.