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Integration of clinical and transcriptomics reveals programming of the lipid metabolism in gastric cancer

Overview of attention for article published in BMC Cancer, September 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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Integration of clinical and transcriptomics reveals programming of the lipid metabolism in gastric cancer
Published in
BMC Cancer, September 2022
DOI 10.1186/s12885-022-10017-4
Pubmed ID
Authors

Yanyan Li, Jungang Zhao, Renpin Chen, Shengwei Chen, Yilun Xu, Weiyang Cai

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 100%
Readers by discipline Count As %
Unknown 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 13 April 2023.
All research outputs
#2,214,077
of 25,706,302 outputs
Outputs from BMC Cancer
#358
of 9,046 outputs
Outputs of similar age
#46,851
of 433,740 outputs
Outputs of similar age from BMC Cancer
#3
of 218 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,046 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 433,740 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 89% of its contemporaries.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.