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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The 2015 Bioinformatics Open Source Conference (BOSC 2015)
|
|---|---|
| Published in |
PLoS Computational Biology, February 2016
|
| DOI | 10.1371/journal.pcbi.1004691 |
| Pubmed ID | |
| Authors |
Nomi L. Harris, Peter J. A. Cock, Hilmar Lapp, Brad Chapman, Rob Davey, Christopher Fields, Karsten Hokamp, Monica Munoz-Torres |
| Abstract |
The Bioinformatics Open Source Conference (BOSC) is organized by the Open Bioinformatics Foundation (OBF), a nonprofit group dedicated to promoting the practice and philosophy of open source software development and open science within the biological research community. Since its inception in 2000, BOSC has provided bioinformatics developers with a forum for communicating the results of their latest efforts to the wider research community. BOSC offers a focused environment for developers and users to interact and share ideas about standards; software development practices; practical techniques for solving bioinformatics problems; and approaches that promote open science and sharing of data, results, and software. BOSC is run as a two-day special interest group (SIG) before the annual Intelligent Systems in Molecular Biology (ISMB) conference. BOSC 2015 took place in Dublin, Ireland, and was attended by over 125 people, about half of whom were first-time attendees. Session topics included "Data Science;" "Standards and Interoperability;" "Open Science and Reproducibility;" "Translational Bioinformatics;" "Visualization;" and "Bioinformatics Open Source Project Updates". In addition to two keynote talks and dozens of shorter talks chosen from submitted abstracts, BOSC 2015 included a panel, titled "Open Source, Open Door: Increasing Diversity in the Bioinformatics Open Source Community," that provided an opportunity for open discussion about ways to increase the diversity of participants in BOSC in particular, and in open source bioinformatics in general. The complete program of BOSC 2015 is available online at http://www.open-bio.org/wiki/BOSC_2015_Schedule. |
X Demographics
The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 17% |
| India | 2 | 6% |
| Canada | 2 | 6% |
| France | 2 | 6% |
| Germany | 2 | 6% |
| United Kingdom | 2 | 6% |
| Australia | 1 | 3% |
| Georgia | 1 | 3% |
| Kenya | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 50% |
| Scientists | 16 | 44% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Spain | 1 | 2% |
| Japan | 1 | 2% |
| Unknown | 43 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 26% |
| Researcher | 6 | 13% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Postgraduate | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Other | 8 | 17% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 19% |
| Agricultural and Biological Sciences | 9 | 19% |
| Medicine and Dentistry | 7 | 15% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Engineering | 4 | 9% |
| Other | 6 | 13% |
| Unknown | 8 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 15 March 2016.
All research outputs
#1,539,608
of 25,658,139 outputs
Outputs from PLoS Computational Biology
#1,288
of 9,022 outputs
Outputs of similar age
#24,753
of 313,507 outputs
Outputs of similar age from PLoS Computational Biology
#35
of 157 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,022 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one has done well, scoring higher than 85% 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 313,507 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 92% of its contemporaries.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.