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Ganciclovir-induced mutations are present in a diverse spectrum of post-transplant malignancies

Overview of attention for article published in Genome Medicine, October 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 (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
16 X users

Citations

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5 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Ganciclovir-induced mutations are present in a diverse spectrum of post-transplant malignancies
Published in
Genome Medicine, October 2022
DOI 10.1186/s13073-022-01131-w
Pubmed ID
Authors

Hu Fang, Helen H. N. Yan, Rebecca A. Bilardi, Christoffer Flensburg, Haocheng Yang, Jayne A. Barbour, Hoi Cheong Siu, Michelle Turski, Edward Chew, Zhen Xu, Siu T. Lam, Rakesh Sharma, Mengya Xu, Junshi Li, Ho W. Ip, Carol Y. M. Cheung, Michael S. Y. Huen, E. Alejandro Sweet-Cordero, Ian J. Majewski, Suet Y. Leung, Jason W. H. Wong

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 %
Student > Bachelor 2 18%
Unspecified 1 9%
Other 1 9%
Student > Doctoral Student 1 9%
Lecturer 1 9%
Other 2 18%
Unknown 3 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 36%
Unspecified 1 9%
Nursing and Health Professions 1 9%
Medicine and Dentistry 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 2022.
All research outputs
#3,542,822
of 24,754,968 outputs
Outputs from Genome Medicine
#763
of 1,523 outputs
Outputs of similar age
#71,337
of 435,124 outputs
Outputs of similar age from Genome Medicine
#17
of 35 outputs
Altmetric has tracked 24,754,968 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,523 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one is in the 49th percentile – i.e., 49% 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 435,124 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.