↓ Skip to main content

Rules extraction from neural networks applied to the prediction and recognition of prokaryotic promoters

Overview of attention for article published in Genetics and Molecular Biology, April 2011
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
1 X user

Readers on

mendeley
24 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Rules extraction from neural networks applied to the prediction and recognition of prokaryotic promoters
Published in
Genetics and Molecular Biology, April 2011
DOI 10.1590/s1415-47572011000200031
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Russia 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Other 3 13%
Student > Master 3 13%
Researcher 3 13%
Professor 2 8%
Other 2 8%
Unknown 7 29%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 38%
Agricultural and Biological Sciences 3 13%
Computer Science 3 13%
Decision Sciences 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 7 29%
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 01 June 2012.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Genetics and Molecular Biology
#408
of 771 outputs
Outputs of similar age
#95,165
of 120,710 outputs
Outputs of similar age from Genetics and Molecular Biology
#5
of 9 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 771 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 32nd percentile – i.e., 32% 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 120,710 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.