↓ Skip to main content

Phenotate: crowdsourcing phenotype annotations as exercises in undergraduate classes

Overview of attention for article published in Genetics in Medicine, May 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
10 X users
facebook
1 Facebook page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
35 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Phenotate: crowdsourcing phenotype annotations as exercises in undergraduate classes
Published in
Genetics in Medicine, May 2020
DOI 10.1038/s41436-020-0812-7
Pubmed ID
Authors

Willie H. Chang, Pouria Mashouri, Alexander X. Lozano, Brittney Johnstone, Mia Husić, Annie Olry, Sylvie Maiella, Tugce B. Balci, Sarah L. Sawyer, Peter N. Robinson, Ana Rath, Michael Brudno

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Professor 5 14%
Student > Doctoral Student 4 11%
Student > Bachelor 4 11%
Researcher 3 9%
Other 2 6%
Other 5 14%
Unknown 12 34%
Readers by discipline Count As %
Medicine and Dentistry 12 34%
Computer Science 3 9%
Biochemistry, Genetics and Molecular Biology 1 3%
Business, Management and Accounting 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 9%
Unknown 14 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 June 2020.
All research outputs
#5,409,323
of 25,663,438 outputs
Outputs from Genetics in Medicine
#1,514
of 2,956 outputs
Outputs of similar age
#122,845
of 414,082 outputs
Outputs of similar age from Genetics in Medicine
#51
of 68 outputs
Altmetric has tracked 25,663,438 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,956 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 414,082 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.