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Pinpointing Cancer Sub-Type Specific Metabolic Tasks Facilitates Identification of Anti-cancer Targets

Overview of attention for article published in Frontiers in Medicine, March 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
2 X users

Citations

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2 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Pinpointing Cancer Sub-Type Specific Metabolic Tasks Facilitates Identification of Anti-cancer Targets
Published in
Frontiers in Medicine, March 2022
DOI 10.3389/fmed.2022.872024
Pubmed ID
Authors

Shuaishi Gao, Ziwei Dai, Hanyu Xu, Luhua Lai

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 10%
Student > Ph. D. Student 1 10%
Student > Bachelor 1 10%
Researcher 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 5 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 30%
Unspecified 1 10%
Medicine and Dentistry 1 10%
Unknown 5 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 October 2022.
All research outputs
#14,682,700
of 23,507,888 outputs
Outputs from Frontiers in Medicine
#2,629
of 6,048 outputs
Outputs of similar age
#218,174
of 442,284 outputs
Outputs of similar age from Frontiers in Medicine
#241
of 611 outputs
Altmetric has tracked 23,507,888 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,048 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has gotten more attention than average, scoring higher than 52% 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 442,284 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 611 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 56% of its contemporaries.