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A purely bioinformatic pipeline for the prediction of mammalian odorant receptor gene enhancers

Overview of attention for article published in BMC Bioinformatics, September 2019
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Mentioned by

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3 X users

Citations

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6 Dimensions

Readers on

mendeley
16 Mendeley
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Title
A purely bioinformatic pipeline for the prediction of mammalian odorant receptor gene enhancers
Published in
BMC Bioinformatics, September 2019
DOI 10.1186/s12859-019-3012-1
Pubmed ID
Authors

Andrea Degl’Innocenti, Gabriella Meloni, Barbara Mazzolai, Gianni Ciofani

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 19%
Student > Postgraduate 3 19%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Professor > Associate Professor 2 13%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Agricultural and Biological Sciences 4 25%
Physics and Astronomy 1 6%
Social Sciences 1 6%
Neuroscience 1 6%
Other 0 0%
Unknown 4 25%
Attention Score in Context

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 15 September 2019.
All research outputs
#15,876,708
of 23,585,652 outputs
Outputs from BMC Bioinformatics
#5,478
of 7,400 outputs
Outputs of similar age
#212,139
of 341,834 outputs
Outputs of similar age from BMC Bioinformatics
#82
of 103 outputs
Altmetric has tracked 23,585,652 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 17th percentile – i.e., 17% 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 341,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.