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Mendeley readers
Attention Score in Context
| Title |
Meeting report from the first meetings of the Computational Modeling in Biology Network (COMBINE)
|
|---|---|
| Published in |
Environmental Microbiome, 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% |
| Student > Doctoral Student | 1 | 4% |
| Other | 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
#8,534,976
of 25,373,627 outputs
Outputs from Environmental Microbiome
#289
of 786 outputs
Outputs of similar age
#72,075
of 246,010 outputs
Outputs of similar age from Environmental Microbiome
#5
of 13 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 786 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% 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 246,010 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.