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Fine-tuning the metabolic rewiring and adaptation of translational machinery during an epithelial-mesenchymal transition in breast cancer cells

Overview of attention for article published in Cancer & Metabolism, July 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
9 X users
facebook
1 Facebook page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Fine-tuning the metabolic rewiring and adaptation of translational machinery during an epithelial-mesenchymal transition in breast cancer cells
Published in
Cancer & Metabolism, July 2020
DOI 10.1186/s40170-020-00216-7
Pubmed ID
Authors

Tamara Fernández-Calero, Marcos Davyt, Karen Perelmuter, Cora Chalar, Giovana Bampi, Helena Persson, Juan Pablo Tosar, Völundur Hafstað, Hugo Naya, Carlos Rovira, Mariela Bollati-Fogolín, Ricardo Ehrlich, Gilles Flouriot, Zoya Ignatova, Mónica Marín

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 15%
Other 3 12%
Student > Ph. D. Student 3 12%
Student > Master 3 12%
Student > Doctoral Student 2 8%
Other 4 15%
Unknown 7 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 54%
Medicine and Dentistry 2 8%
Agricultural and Biological Sciences 1 4%
Immunology and Microbiology 1 4%
Neuroscience 1 4%
Other 0 0%
Unknown 7 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 July 2020.
All research outputs
#7,617,304
of 23,223,705 outputs
Outputs from Cancer & Metabolism
#86
of 208 outputs
Outputs of similar age
#163,344
of 399,560 outputs
Outputs of similar age from Cancer & Metabolism
#7
of 11 outputs
Altmetric has tracked 23,223,705 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 208 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 55% 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 399,560 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 55% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.