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If You Can't Measure It, You Can't Manage It

Overview of attention for article published in PLoS Computational Biology, March 2014
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
twitter
42 X users
facebook
2 Facebook pages
googleplus
3 Google+ users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
108 Mendeley
citeulike
6 CiteULike
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Title
If You Can't Measure It, You Can't Manage It
Published in
PLoS Computational Biology, March 2014
DOI 10.1371/journal.pcbi.1003462
Pubmed ID
Authors

Jean Peccoud

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 9%
Spain 2 2%
France 1 <1%
Korea, Republic of 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Portugal 1 <1%
Sweden 1 <1%
Saudi Arabia 1 <1%
Other 0 0%
Unknown 89 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 34%
Student > Ph. D. Student 10 9%
Professor > Associate Professor 10 9%
Student > Doctoral Student 8 7%
Professor 8 7%
Other 30 28%
Unknown 5 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 27%
Biochemistry, Genetics and Molecular Biology 13 12%
Computer Science 12 11%
Engineering 9 8%
Medicine and Dentistry 7 6%
Other 29 27%
Unknown 9 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 09 June 2017.
All research outputs
#1,144,125
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#929
of 8,960 outputs
Outputs of similar age
#11,071
of 237,012 outputs
Outputs of similar age from PLoS Computational Biology
#15
of 138 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 89% 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 237,012 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 95% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.