↓ Skip to main content

Meeting report from the first meetings of the Computational Modeling in Biology Network (COMBINE)

Overview of attention for article published in Standards in Genomic Sciences, November 2011
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#39 of 240)
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

googleplus
3 Google+ users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
25 Mendeley
citeulike
2 CiteULike
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
Meeting report from the first meetings of the Computational Modeling in Biology Network (COMBINE)
Published in
Standards in Genomic Sciences, November 2011
DOI 10.4056/sigs.2034671
Pubmed ID
Authors

Nicolas Le Novère, Michael Hucka, Nadia Anwar, Gary D Bader, Emek Demir, Stuart Moodie, Anatoly Sorokin

Abstract

The Computational Modeling in Biology Network (COMBINE), is an initiative to coordinate the development of the various community standards and formats in computational systems biology and related fields. This report summarizes the activities pursued at the first annual COMBINE meeting held in Edinburgh on October 6-9 2010 and the first HARMONY hackathon, held in New York on April 18-22 2011. The first of those meetings hosted 81 attendees. Discussions covered both official COMBINE standards-(BioPAX, SBGN and SBML), as well as emerging efforts and interoperability between different formats. The second meeting, oriented towards software developers, welcomed 59 participants and witnessed many technical discussions, development of improved standards support in community software systems and conversion between the standards. Both meetings were resounding successes and showed that the field is now mature enough to develop representation formats and related standards in a coordinated manner.

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 12%
Netherlands 1 4%
Canada 1 4%
Unknown 20 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 44%
Student > Ph. D. Student 3 12%
Student > Master 2 8%
Other 1 4%
Professor 1 4%
Other 2 8%
Unknown 5 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 36%
Biochemistry, Genetics and Molecular Biology 4 16%
Computer Science 3 12%
Business, Management and Accounting 1 4%
Medicine and Dentistry 1 4%
Other 2 8%
Unknown 5 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 December 2011.
All research outputs
#817,599
of 3,627,649 outputs
Outputs from Standards in Genomic Sciences
#39
of 240 outputs
Outputs of similar age
#21,851
of 85,762 outputs
Outputs of similar age from Standards in Genomic Sciences
#2
of 6 outputs
Altmetric has tracked 3,627,649 research outputs across all sources so far. This one has received more attention than most of these and is in the 63rd percentile.
So far Altmetric has tracked 240 research outputs from this source. They receive a mean Attention Score of 1.9. This one has gotten more attention than average, scoring higher than 73% 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 85,762 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 72% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.