↓ Skip to main content

Automated Discovery of Food Webs from Ecological Data Using Logic-Based Machine Learning

Overview of attention for article published in PLOS ONE, December 2011
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Readers on

mendeley
184 Mendeley
citeulike
2 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
Automated Discovery of Food Webs from Ecological Data Using Logic-Based Machine Learning
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0029028
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 profiles of 2 X users 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 184 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 %
United States 4 2%
France 4 2%
Canada 2 1%
Réunion 1 <1%
Mexico 1 <1%
Luxembourg 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
Unknown 169 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 40 22%
Student > Ph. D. Student 29 16%
Student > Master 22 12%
Student > Bachelor 15 8%
Professor > Associate Professor 8 4%
Other 26 14%
Unknown 44 24%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 68 37%
Environmental Science 39 21%
Computer Science 6 3%
Medicine and Dentistry 5 3%
Veterinary Science and Veterinary Medicine 2 1%
Other 15 8%
Unknown 49 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 16 October 2018.
All research outputs
#5,146,157
of 34,404,538 outputs
Outputs from PLOS ONE
#52,989
of 224,631 outputs
Outputs of similar age
#36,576
of 304,316 outputs
Outputs of similar age from PLOS ONE
#609
of 3,149 outputs
Altmetric has tracked 34,404,538 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,631 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has done well, scoring higher than 75% 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 304,316 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 3,149 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.