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Bacterial Phage Tail-like Structure Kills Eukaryotic Cells by Injecting a Nuclease Effector

Overview of attention for article published in bioRxiv, February 2019
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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 (95th percentile)

Mentioned by

twitter
85 tweeters

Readers on

mendeley
8 Mendeley
Title
Bacterial Phage Tail-like Structure Kills Eukaryotic Cells by Injecting a Nuclease Effector
Published in
bioRxiv, February 2019
DOI 10.1101/543298
Authors

Iara Rocchi, Charles Ericson, Kyle E Malter, Sahar Zargar, Fabian Eisenstein, Martin Pilhofer, Sinem Beyhan, Nicholas J Shikuma

Twitter Demographics

The data shown below were collected from the profiles of 85 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 75%
Unspecified 3 38%
Lecturer > Senior Lecturer 1 13%
Student > Bachelor 1 13%
Student > Master 1 13%
Other 2 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 38%
Agricultural and Biological Sciences 3 38%
Unspecified 3 38%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Environmental Science 1 13%
Other 3 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 27 April 2019.
All research outputs
#386,263
of 13,646,758 outputs
Outputs from bioRxiv
#2,792
of 62,375 outputs
Outputs of similar age
#15,069
of 302,203 outputs
Outputs of similar age from bioRxiv
#284
of 6,270 outputs
Altmetric has tracked 13,646,758 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 62,375 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. 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 302,203 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 6,270 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 95% of its contemporaries.