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OscoNet: inferring oscillatory gene networks

Overview of attention for article published in BMC Bioinformatics, August 2020
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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 (74th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
15 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
15 Mendeley
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Title
OscoNet: inferring oscillatory gene networks
Published in
BMC Bioinformatics, August 2020
DOI 10.1186/s12859-020-03561-y
Pubmed ID
Authors

Luisa Cutillo, Alexis Boukouvalas, Elli Marinopoulou, Nancy Papalopulu, Magnus Rattray

Twitter Demographics

The data shown below were collected from the profiles of 15 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Ph. D. Student 3 20%
Student > Bachelor 2 13%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 3 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 47%
Medicine and Dentistry 2 13%
Computer Science 1 7%
Nursing and Health Professions 1 7%
Engineering 1 7%
Other 0 0%
Unknown 3 20%

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 03 October 2020.
All research outputs
#2,976,551
of 17,351,915 outputs
Outputs from BMC Bioinformatics
#1,242
of 6,150 outputs
Outputs of similar age
#76,556
of 305,436 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 47 outputs
Altmetric has tracked 17,351,915 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 6,150 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 79% 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 305,436 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 74% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.