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Log::ProgramInfo: A Perl module to collect and log data for bioinformatics pipelines

Overview of attention for article published in Source Code for Biology and Medicine, June 2016
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Title
Log::ProgramInfo: A Perl module to collect and log data for bioinformatics pipelines
Published in
Source Code for Biology and Medicine, June 2016
DOI 10.1186/s13029-016-0055-9
Pubmed ID
Authors

John M. Macdonald, Paul C. Boutros

Abstract

To reproduce and report a bioinformatics analysis, it is important to be able to determine the environment in which a program was run. It can also be valuable when trying to debug why different executions are giving unexpectedly different results. Log::ProgramInfo is a Perl module that writes a log file at the termination of execution of the enclosing program, to document useful execution characteristics. This log file can be used to re-create the environment in order to reproduce an earlier execution. It can also be used to compare the environments of two executions to determine whether there were any differences that might affect (or explain) their operation. The source is available on CPAN (Macdonald and Boutros, Log-ProgramInfo. http://search.cpan.org/~boutroslb/Log-ProgramInfo/). Using Log::ProgramInfo in programs creating result data for publishable research, and including the Log::ProgramInfo output log as part of the publication of that research is a valuable method to assist others to duplicate the programming environment as a precursor to validating and/or extending that research.

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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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Bachelor 2 20%
Professor 1 10%
Student > Ph. D. Student 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 3 30%
Engineering 2 20%
Agricultural and Biological Sciences 1 10%
Nursing and Health Professions 1 10%
Medicine and Dentistry 1 10%
Other 1 10%
Unknown 1 10%
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 27 June 2016.
All research outputs
#20,334,427
of 22,879,161 outputs
Outputs from Source Code for Biology and Medicine
#111
of 127 outputs
Outputs of similar age
#305,328
of 352,727 outputs
Outputs of similar age from Source Code for Biology and Medicine
#4
of 4 outputs
Altmetric has tracked 22,879,161 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 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. 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 352,727 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 4 others from the same source and published within six weeks on either side of this one.