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Ten simple rules for getting started on Twitter as a scientist

Overview of attention for article published in PLoS Computational Biology, February 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 6,424)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
twitter
1201 tweeters
facebook
3 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
152 Mendeley
Title
Ten simple rules for getting started on Twitter as a scientist
Published in
PLoS Computational Biology, February 2020
DOI 10.1371/journal.pcbi.1007513
Pubmed ID
Authors

Veronika Cheplygina, Felienne Hermans, Casper Albers, Natalia Bielczyk, Ionica Smeets

Twitter Demographics

The data shown below were collected from the profiles of 1,201 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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 152 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 27%
Student > Ph. D. Student 35 23%
Student > Bachelor 18 12%
Professor > Associate Professor 12 8%
Student > Master 10 7%
Other 24 16%
Unknown 12 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 17%
Biochemistry, Genetics and Molecular Biology 21 14%
Neuroscience 13 9%
Environmental Science 8 5%
Computer Science 8 5%
Other 49 32%
Unknown 27 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 875. 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 18 January 2021.
All research outputs
#9,379
of 16,651,463 outputs
Outputs from PLoS Computational Biology
#8
of 6,424 outputs
Outputs of similar age
#441
of 329,332 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 12 outputs
Altmetric has tracked 16,651,463 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 6,424 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.5. This one has done particularly well, scoring higher than 99% 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 329,332 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 99% of its contemporaries.
We're also able to compare this research output to 12 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 99% of its contemporaries.