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An integrative network-driven pipeline for systematic identification of lncRNA-associated regulatory network motifs in metastatic melanoma

Overview of attention for article published in BMC Bioinformatics, July 2020
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Mentioned by

twitter
2 tweeters

Citations

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2 Dimensions

Readers on

mendeley
12 Mendeley
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Title
An integrative network-driven pipeline for systematic identification of lncRNA-associated regulatory network motifs in metastatic melanoma
Published in
BMC Bioinformatics, July 2020
DOI 10.1186/s12859-020-03656-6
Authors

Nivedita Singh, Martin Eberhardt, Olaf Wolkenhauer, Julio Vera, Shailendra K. Gupta

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Researcher 3 25%
Student > Postgraduate 2 17%
Student > Doctoral Student 1 8%
Other 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 3 25%
Biochemistry, Genetics and Molecular Biology 2 17%
Business, Management and Accounting 1 8%
Environmental Science 1 8%
Immunology and Microbiology 1 8%
Other 1 8%
Unknown 3 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 July 2020.
All research outputs
#12,260,511
of 16,080,603 outputs
Outputs from BMC Bioinformatics
#4,596
of 5,828 outputs
Outputs of similar age
#203,335
of 299,004 outputs
Outputs of similar age from BMC Bioinformatics
#41
of 54 outputs
Altmetric has tracked 16,080,603 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,828 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 299,004 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.