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Ten Simple Rules of Live Tweeting at Scientific Conferences

Overview of attention for article published in PLoS Computational Biology, August 2014
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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 (#4 of 9,065)
  • 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

blogs
18 blogs
twitter
2313 X users
peer_reviews
2 peer review sites
facebook
28 Facebook pages
googleplus
18 Google+ users

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
174 Mendeley
citeulike
8 CiteULike
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Title
Ten Simple Rules of Live Tweeting at Scientific Conferences
Published in
PLoS Computational Biology, August 2014
DOI 10.1371/journal.pcbi.1003789
Pubmed ID
Authors

Sean Ekins, Ethan O. Perlstein

X Demographics

X Demographics

The data shown below were collected from the profiles of 2,313 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 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
Netherlands 3 2%
Spain 2 1%
Finland 2 1%
Portugal 1 <1%
France 1 <1%
Sweden 1 <1%
Korea, Republic of 1 <1%
Germany 1 <1%
Other 4 2%
Unknown 151 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 20%
Student > Ph. D. Student 30 17%
Student > Master 16 9%
Other 14 8%
Professor > Associate Professor 13 7%
Other 32 18%
Unknown 35 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 21%
Medicine and Dentistry 22 13%
Biochemistry, Genetics and Molecular Biology 11 6%
Psychology 8 5%
Social Sciences 7 4%
Other 40 23%
Unknown 49 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1591. 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 September 2022.
All research outputs
#7,225
of 25,891,484 outputs
Outputs from PLoS Computational Biology
#4
of 9,065 outputs
Outputs of similar age
#31
of 248,755 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 159 outputs
Altmetric has tracked 25,891,484 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 9,065 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 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 248,755 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 159 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.