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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
The 3rd DBCLS BioHackathon: improving life science data integration with Semantic Web technologies
|
|---|---|
| Published in |
Journal of Biomedical Semantics, February 2013
|
| DOI | 10.1186/2041-1480-4-6 |
| Pubmed ID | |
| Authors |
Toshiaki Katayama, Mark D Wilkinson, Gos Micklem, Shuichi Kawashima, Atsuko Yamaguchi, Mitsuteru Nakao, Yasunori Yamamoto, Shinobu Okamoto, Kenta Oouchida, Hong-Woo Chun, Jan Aerts, Hammad Afzal, Erick Antezana, Kazuharu Arakawa, Bruno Aranda, Francois Belleau, Jerven Bolleman, JP Raoul Bonnal, Brad Chapman, JA Peter Cock, Tore Eriksson, MK Paul Gordon, Naohisa Goto, Kazuhiro Hayashi, Heiko Horn, Ryosuke Ishiwata, Eli Kaminuma, Arek Kasprzyk, Hideya Kawaji, Nobuhiro Kido, Joo Young Kim, Akira R Kinjo, Fumikazu Konishi, Kyung-Hoon Kwon, Alberto Labarga, Anna-Lena Lamprecht, Yu Lin, Pierre Lindenbaum, Luke McCarthy, Hideyuki Morita, Katsuhiko Murakami, Koji Nagao, Kozo Nishida, Kunihiro Nishimura, Tatsuya Nishizawa, Soichi Ogishima, Keiichiro Ono, Kazuki Oshita, Keun-Joon Park, Pjotr Prins, Taro L Saito, Matthias Samwald, Venkata P Satagopam, Yasumasa Shigemoto, Richard Smith, Andrea Splendiani, Hideaki Sugawara, James Taylor, Rutger A Vos, David Withers, Chisato Yamasaki, Christian M Zmasek, Shoko Kawamoto, Kosaku Okubo, Kiyoshi Asai, Toshihisa Takagi |
| Abstract |
BioHackathon 2010 was the third in a series of meetings hosted by the Database Center for Life Sciences (DBCLS) in Tokyo, Japan. The overall goal of the BioHackathon series is to improve the quality and accessibility of life science research data on the Web by bringing together representatives from public databases, analytical tool providers, and cyber-infrastructure researchers to jointly tackle important challenges in the area of in silico biological research. |
X Demographics
The data shown below were collected from the profiles of 12 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 Kingdom | 2 | 17% |
| Japan | 1 | 8% |
| United States | 1 | 8% |
| Comoros | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 4% |
| United States | 4 | 4% |
| Netherlands | 3 | 3% |
| United Kingdom | 2 | 2% |
| Brazil | 1 | 1% |
| Mexico | 1 | 1% |
| Canada | 1 | 1% |
| Egypt | 1 | 1% |
| Luxembourg | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 74 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 34% |
| Student > Ph. D. Student | 16 | 17% |
| Student > Master | 11 | 12% |
| Professor > Associate Professor | 9 | 10% |
| Other | 7 | 8% |
| Other | 14 | 15% |
| Unknown | 4 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 35 | 38% |
| Agricultural and Biological Sciences | 25 | 27% |
| Engineering | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Social Sciences | 3 | 3% |
| Other | 11 | 12% |
| Unknown | 9 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 16 January 2014.
All research outputs
#3,537,678
of 25,373,627 outputs
Outputs from Journal of Biomedical Semantics
#50
of 368 outputs
Outputs of similar age
#36,182
of 296,776 outputs
Outputs of similar age from Journal of Biomedical Semantics
#2
of 9 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 86% 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 296,776 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.