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MaveDB: an open-source platform to distribute and interpret data from multiplexed assays of variant effect

Overview of attention for article published in Genome Biology, November 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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
15 X users
facebook
1 Facebook page

Citations

dimensions_citation
140 Dimensions

Readers on

mendeley
137 Mendeley
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Title
MaveDB: an open-source platform to distribute and interpret data from multiplexed assays of variant effect
Published in
Genome Biology, November 2019
DOI 10.1186/s13059-019-1845-6
Pubmed ID
Authors

Daniel Esposito, Jochen Weile, Jay Shendure, Lea M. Starita, Anthony T. Papenfuss, Frederick P. Roth, Douglas M. Fowler, Alan F. Rubin

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 25%
Researcher 22 16%
Student > Bachelor 20 15%
Student > Master 8 6%
Other 7 5%
Other 14 10%
Unknown 32 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 55 40%
Agricultural and Biological Sciences 20 15%
Computer Science 4 3%
Medicine and Dentistry 4 3%
Nursing and Health Professions 2 1%
Other 14 10%
Unknown 38 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 05 December 2019.
All research outputs
#1,031,503
of 25,387,668 outputs
Outputs from Genome Biology
#745
of 4,470 outputs
Outputs of similar age
#23,060
of 380,088 outputs
Outputs of similar age from Genome Biology
#31
of 89 outputs
Altmetric has tracked 25,387,668 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 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 83% 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 380,088 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 93% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.