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Identification of long non-coding RNA-related and –coexpressed mRNA biomarkers for hepatocellular carcinoma

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

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Identification of long non-coding RNA-related and –coexpressed mRNA biomarkers for hepatocellular carcinoma
Published in
BMC Medical Genomics, January 2019
DOI 10.1186/s12920-019-0472-0
Pubmed ID
Authors

Fan Zhang, Linda Ding, Li Cui, Robert Barber, Bin Deng

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Lecturer 1 13%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Researcher 1 13%
Other 1 13%
Unknown 1 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 38%
Medicine and Dentistry 3 38%
Unknown 2 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 January 2022.
All research outputs
#6,579,520
of 20,983,497 outputs
Outputs from BMC Medical Genomics
#313
of 1,110 outputs
Outputs of similar age
#134,696
of 368,602 outputs
Outputs of similar age from BMC Medical Genomics
#9
of 23 outputs
Altmetric has tracked 20,983,497 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,110 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 70% 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 368,602 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 62% of its contemporaries.
We're also able to compare this research output to 23 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 60% of its contemporaries.