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Extent and context dependence of pleiotropy revealed by high-throughput single-cell phenotyping

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

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

twitter
35 tweeters

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Extent and context dependence of pleiotropy revealed by high-throughput single-cell phenotyping
Published in
PLoS Biology, August 2020
DOI 10.1371/journal.pbio.3000836
Pubmed ID
Authors

Kerry A. Geiler-Samerotte, Shuang Li, Charalampos Lazaris, Austin Taylor, Naomi Ziv, Chelsea Ramjeawan, Annalise B. Paaby, Mark L. Siegal

Twitter Demographics

The data shown below were collected from the profiles of 35 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Bachelor 7 14%
Student > Ph. D. Student 5 10%
Student > Master 5 10%
Professor > Associate Professor 4 8%
Other 10 20%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 27%
Biochemistry, Genetics and Molecular Biology 12 24%
Medicine and Dentistry 4 8%
Neuroscience 2 4%
Nursing and Health Professions 2 4%
Other 7 14%
Unknown 9 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 June 2021.
All research outputs
#1,561,740
of 22,557,175 outputs
Outputs from PLoS Biology
#2,485
of 6,313 outputs
Outputs of similar age
#38,942
of 319,590 outputs
Outputs of similar age from PLoS Biology
#12
of 14 outputs
Altmetric has tracked 22,557,175 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,313 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.2. This one has gotten more attention than average, scoring higher than 60% 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 319,590 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.