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Cost-effectiveness model of renal cell carcinoma (RCC) surveillance in hereditary leiomyomatosis and renal cell carcinoma (HLRCC)

Overview of attention for article published in Journal of Medical Genetics, February 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
14 X users
facebook
1 Facebook page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Cost-effectiveness model of renal cell carcinoma (RCC) surveillance in hereditary leiomyomatosis and renal cell carcinoma (HLRCC)
Published in
Journal of Medical Genetics, February 2022
DOI 10.1136/jmedgenet-2021-108215
Pubmed ID
Authors

Alexander J Thompson, Yousef M Alwan, Vijay A C Ramani, D Gareth Evans, Eamonn R Maher, Emma R Woodward

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Student > Bachelor 1 9%
Professor 1 9%
Unknown 7 64%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Medicine and Dentistry 1 9%
Unknown 8 73%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 27 February 2023.
All research outputs
#1,799,749
of 23,445,423 outputs
Outputs from Journal of Medical Genetics
#166
of 2,969 outputs
Outputs of similar age
#45,401
of 510,299 outputs
Outputs of similar age from Journal of Medical Genetics
#4
of 20 outputs
Altmetric has tracked 23,445,423 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,969 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 94% 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 510,299 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.