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Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients
Published in
BMC Medical Genomics, September 2019
DOI 10.1186/s12920-019-0578-4
Pubmed ID
Authors

Petr V. Nazarov, Anke K. Wienecke-Baldacchino, Andrei Zinovyev, Urszula Czerwińska, Arnaud Muller, Dorothée Nashan, Gunnar Dittmar, Francisco Azuaje, Stephanie Kreis

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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Master 7 15%
Student > Bachelor 6 13%
Student > Ph. D. Student 6 13%
Student > Doctoral Student 2 4%
Other 5 10%
Unknown 13 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 33%
Agricultural and Biological Sciences 7 15%
Engineering 2 4%
Mathematics 1 2%
Psychology 1 2%
Other 3 6%
Unknown 18 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 December 2021.
All research outputs
#3,996,429
of 23,164,913 outputs
Outputs from BMC Medical Genomics
#183
of 1,240 outputs
Outputs of similar age
#78,487
of 342,881 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 25 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,240 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 85% 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 342,881 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 77% of its contemporaries.
We're also able to compare this research output to 25 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.