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2016 update on APBioNet’s annual international conference on bioinformatics (InCoB)

Overview of attention for article published in BMC Genomics, December 2016
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Title
2016 update on APBioNet’s annual international conference on bioinformatics (InCoB)
Published in
BMC Genomics, December 2016
DOI 10.1186/s12864-016-3362-2
Pubmed ID
Authors

Christian Schönbach, Chandra Verma, Lawrence Jin Kiat Wee, Peter John Bond, Shoba Ranganathan

Abstract

InCoB became since its inception in 2002 one of the largest annual bioinformatics conferences in the Asia-Pacific region with attendance ranging between 150 and 250 delegates depending on the venue location. InCoB 2016 in Singapore was attended by almost 220 delegates. This year, sessions on structural bioinformatics, sequence and sequencing, and next-generation sequencing fielded the highest number of oral presentation. Forty-four out 96 oral presentations were associated with an accepted manuscript in supplemental issues of BMC Bioinformatics, BMC Genomics, BMC Medical Genomics or BMC Systems Biology. Articles with a genomics focus are reviewed in this editorial. Next year's InCoB will be held in Shenzen, China from September 20 to 22, 2017.

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Professor 2 15%
Student > Ph. D. Student 2 15%
Student > Master 1 8%
Student > Bachelor 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 38%
Biochemistry, Genetics and Molecular Biology 2 15%
Decision Sciences 1 8%
Chemistry 1 8%
Unknown 4 31%
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 05 February 2017.
All research outputs
#18,529,032
of 22,950,943 outputs
Outputs from BMC Genomics
#8,215
of 10,686 outputs
Outputs of similar age
#310,571
of 421,035 outputs
Outputs of similar age from BMC Genomics
#166
of 232 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,686 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 421,035 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 232 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.