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Modeling breast cancer progression to bone: how driver mutation order and metabolism matter

Overview of attention for article published in BMC Medical Genomics, July 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
16 Mendeley
Title
Modeling breast cancer progression to bone: how driver mutation order and metabolism matter
Published in
BMC Medical Genomics, July 2019
DOI 10.1186/s12920-019-0541-4
Pubmed ID
Authors

Gianluca Ascolani, Pietro Liò

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Bachelor 3 19%
Researcher 2 13%
Student > Master 2 13%
Other 1 6%
Other 1 6%
Unknown 3 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Mathematics 2 13%
Medicine and Dentistry 2 13%
Psychology 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 13%
Unknown 3 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 August 2019.
All research outputs
#5,847,669
of 23,153,184 outputs
Outputs from BMC Medical Genomics
#264
of 1,240 outputs
Outputs of similar age
#103,366
of 346,714 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 34 outputs
Altmetric has tracked 23,153,184 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,240 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 78% 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 346,714 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 69% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.