↓ Skip to main content

Ten Simple Rules for Choosing between Industry and Academia

Overview of attention for article published in PLoS Computational Biology, June 2009
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
2 blogs
twitter
84 X users
facebook
8 Facebook pages
googleplus
8 Google+ users
reddit
2 Redditors

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
484 Mendeley
citeulike
99 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.
Title
Ten Simple Rules for Choosing between Industry and Academia
Published in
PLoS Computational Biology, June 2009
DOI 10.1371/journal.pcbi.1000388
Pubmed ID
Authors

David B. Searls

X Demographics

X Demographics

The data shown below were collected from the profiles of 84 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 484 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 27 6%
United Kingdom 12 2%
Germany 10 2%
Canada 5 1%
Switzerland 4 <1%
Sweden 4 <1%
France 3 <1%
Turkey 2 <1%
Norway 2 <1%
Other 17 4%
Unknown 398 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 138 29%
Researcher 110 23%
Student > Master 43 9%
Other 26 5%
Student > Bachelor 25 5%
Other 92 19%
Unknown 50 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 193 40%
Biochemistry, Genetics and Molecular Biology 39 8%
Engineering 29 6%
Computer Science 28 6%
Chemistry 27 6%
Other 112 23%
Unknown 56 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 82. 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 06 October 2021.
All research outputs
#529,855
of 25,756,911 outputs
Outputs from PLoS Computational Biology
#380
of 9,032 outputs
Outputs of similar age
#1,236
of 123,707 outputs
Outputs of similar age from PLoS Computational Biology
#3
of 42 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,032 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one has done particularly well, scoring higher than 95% 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 123,707 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 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.