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Identification and validation of an epigenetically regulated long noncoding RNA model for breast cancer metabolism and prognosis

Overview of attention for article published in BMC Medical Genomics, May 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Identification and validation of an epigenetically regulated long noncoding RNA model for breast cancer metabolism and prognosis
Published in
BMC Medical Genomics, May 2022
DOI 10.1186/s12920-022-01256-2
Pubmed ID
Authors

Yu Song, Songjie Shen, Qiang Sun

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 14%
Student > Bachelor 2 14%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Unknown 8 57%
Readers by discipline Count As %
Medicine and Dentistry 2 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Environmental Science 1 7%
Computer Science 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 0 0%
Unknown 8 57%
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 09 May 2022.
All research outputs
#13,770,689
of 23,726,221 outputs
Outputs from BMC Medical Genomics
#497
of 1,261 outputs
Outputs of similar age
#183,623
of 443,657 outputs
Outputs of similar age from BMC Medical Genomics
#13
of 44 outputs
Altmetric has tracked 23,726,221 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,261 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 59% 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 443,657 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 57% of its contemporaries.
We're also able to compare this research output to 44 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 72% of its contemporaries.