↓ Skip to main content

Erratum to: Evolving hard problems: generating human genetics datasets with a complex etiology

Overview of attention for article published in BioData Mining, February 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
3 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
Erratum to: Evolving hard problems: generating human genetics datasets with a complex etiology
Published in
BioData Mining, February 2016
DOI 10.1186/s13040-016-0085-5
Pubmed ID
Authors

Daniel S. Himmelstein, Casey S. Greene, Jason H. Moore

Abstract

[This corrects the article DOI: 10.1186/1756-0381-4-21.].

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Bachelor 1 33%
Student > Postgraduate 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Computer Science 1 33%
Agricultural and Biological Sciences 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 February 2016.
All research outputs
#20,303,950
of 22,842,950 outputs
Outputs from BioData Mining
#288
of 307 outputs
Outputs of similar age
#333,923
of 397,089 outputs
Outputs of similar age from BioData Mining
#12
of 14 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 307 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 1st percentile – i.e., 1% 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 397,089 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.