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Enhancer prediction in the human genome by probabilistic modelling of the chromatin feature patterns

Overview of attention for article published in BMC Bioinformatics, July 2020
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About this Attention Score

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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

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7 Dimensions

Readers on

mendeley
31 Mendeley
Title
Enhancer prediction in the human genome by probabilistic modelling of the chromatin feature patterns
Published in
BMC Bioinformatics, July 2020
DOI 10.1186/s12859-020-03621-3
Pubmed ID
Authors

Maria Osmala, Harri Lähdesmäki

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 26%
Researcher 7 23%
Student > Master 4 13%
Student > Doctoral Student 2 6%
Lecturer > Senior Lecturer 1 3%
Other 1 3%
Unknown 8 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 35%
Computer Science 3 10%
Agricultural and Biological Sciences 3 10%
Medicine and Dentistry 2 6%
Social Sciences 1 3%
Other 1 3%
Unknown 10 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 July 2020.
All research outputs
#14,080,699
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#4,552
of 7,387 outputs
Outputs of similar age
#210,436
of 400,499 outputs
Outputs of similar age from BMC Bioinformatics
#77
of 123 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 38th percentile – i.e., 38% 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 400,499 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.