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Non-model model organisms

Overview of attention for article published in BMC Biology, June 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#45 of 1,880)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

blogs
4 blogs
twitter
229 tweeters
facebook
3 Facebook pages
googleplus
1 Google+ user
f1000
1 research highlight platform

Citations

dimensions_citation
129 Dimensions

Readers on

mendeley
364 Mendeley
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Title
Non-model model organisms
Published in
BMC Biology, June 2017
DOI 10.1186/s12915-017-0391-5
Pubmed ID
Authors

James J. Russell, Julie A. Theriot, Pranidhi Sood, Wallace F. Marshall, Laura F. Landweber, Lillian Fritz-Laylin, Jessica K. Polka, Snezhana Oliferenko, Therese Gerbich, Amy Gladfelter, James Umen, Magdalena Bezanilla, Madeline A. Lancaster, Shuonan He, Matthew C. Gibson, Bob Goldstein, Elly M. Tanaka, Chi-Kuo Hu, Anne Brunet

Abstract

Model organisms are widely used in research as accessible and convenient systems to study a particular area or question in biology. Traditionally only a handful of organisms have been widely studied, but modern research tools are enabling researchers to extend the set of model organisms to include less-studied and more unusual systems. This Forum highlights a range of 'non-model model organisms' as emerging systems for tackling questions across the whole spectrum of biology (and beyond), the opportunities and challenges, and the outlook for the future.

Twitter Demographics

The data shown below were collected from the profiles of 229 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 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 <1%
Unknown 363 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 80 22%
Researcher 69 19%
Student > Bachelor 43 12%
Student > Master 41 11%
Student > Doctoral Student 25 7%
Other 51 14%
Unknown 55 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 120 33%
Agricultural and Biological Sciences 107 29%
Environmental Science 13 4%
Immunology and Microbiology 11 3%
Computer Science 8 2%
Other 38 10%
Unknown 67 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 148. 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 19 November 2021.
All research outputs
#212,732
of 21,775,893 outputs
Outputs from BMC Biology
#45
of 1,880 outputs
Outputs of similar age
#5,242
of 285,265 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 21,775,893 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,880 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.4. This one has done particularly well, scoring higher than 97% 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 285,265 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them