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A New Online Computational Biology Curriculum

Overview of attention for article published in PLoS Computational Biology, June 2014
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
3 blogs
twitter
142 X users
facebook
3 Facebook pages
googleplus
6 Google+ users
reddit
2 Redditors

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
232 Mendeley
citeulike
18 CiteULike
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Title
A New Online Computational Biology Curriculum
Published in
PLoS Computational Biology, June 2014
DOI 10.1371/journal.pcbi.1003662
Pubmed ID
Authors

David B. Searls

Abstract

A recent proliferation of Massive Open Online Courses (MOOCs) and other web-based educational resources has greatly increased the potential for effective self-study in many fields. This article introduces a catalog of several hundred free video courses of potential interest to those wishing to expand their knowledge of bioinformatics and computational biology. The courses are organized into eleven subject areas modeled on university departments and are accompanied by commentary and career advice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 142 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 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Brazil 5 2%
Spain 4 2%
United Kingdom 4 2%
Sweden 3 1%
Colombia 2 <1%
Netherlands 2 <1%
Germany 2 <1%
Australia 1 <1%
Other 12 5%
Unknown 191 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 28%
Researcher 60 26%
Other 18 8%
Student > Master 17 7%
Student > Bachelor 16 7%
Other 40 17%
Unknown 17 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 110 47%
Biochemistry, Genetics and Molecular Biology 32 14%
Computer Science 15 6%
Social Sciences 11 5%
Medicine and Dentistry 11 5%
Other 32 14%
Unknown 21 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 119. 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 28 July 2020.
All research outputs
#359,519
of 25,872,466 outputs
Outputs from PLoS Computational Biology
#240
of 9,061 outputs
Outputs of similar age
#2,950
of 244,622 outputs
Outputs of similar age from PLoS Computational Biology
#4
of 142 outputs
Altmetric has tracked 25,872,466 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,061 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one has done particularly well, scoring higher than 97% 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 244,622 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 98% of its contemporaries.
We're also able to compare this research output to 142 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 97% of its contemporaries.