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The 2nd DBCLS BioHackathon: interoperable bioinformatics Web services for integrated applications

Overview of attention for article published in Journal of Biomedical Semantics, August 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#48 of 312)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter
googleplus
1 Google+ user

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
68 Mendeley
citeulike
10 CiteULike
connotea
1 Connotea
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Title
The 2nd DBCLS BioHackathon: interoperable bioinformatics Web services for integrated applications
Published in
Journal of Biomedical Semantics, August 2011
DOI 10.1186/2041-1480-2-4
Pubmed ID
Authors

Toshiaki Katayama, Toshiaki Katayama, Mark D Wilkinson, Rutger Vos, Takeshi Kawashima, Shuichi Kawashima, Mitsuteru Nakao, Yasunori Yamamoto, Hong-Woo Chun, Atsuko Yamaguchi, Shin Kawano, Jan Aerts, Kiyoko F Aoki-Kinoshita, Kazuharu Arakawa, Bruno Aranda, Raoul JP Bonnal, José M Fernández, Takatomo Fujisawa, Paul MK Gordon, Naohisa Goto, Syed Haider, Todd Harris, Takashi Hatakeyama, Isaac Ho, Masumi Itoh, Arek Kasprzyk, Nobuhiro Kido, Young-Joo Kim, Akira R Kinjo, Fumikazu Konishi, Yulia Kovarskaya, Greg von Kuster, Alberto Labarga, Vachiranee Limviphuvadh, Luke McCarthy, Yasukazu Nakamura, Yunsun Nam, Kozo Nishida, Kunihiro Nishimura, Tatsuya Nishizawa, Soichi Ogishima, Tom Oinn, Shinobu Okamoto, Shujiro Okuda, Keiichiro Ono, Kazuki Oshita, Keun-Joon Park, Nicholas Putnam, Martin Senger, Jessica Severin, Yasumasa Shigemoto, Hideaki Sugawara, James Taylor, Oswaldo Trelles, Chisato Yamasaki, Riu Yamashita, Noriyuki Satoh, Toshihisa Takagi

Abstract

The interaction between biological researchers and the bioinformatics tools they use is still hampered by incomplete interoperability between such tools. To ensure interoperability initiatives are effectively deployed, end-user applications need to be aware of, and support, best practices and standards. Here, we report on an initiative in which software developers and genome biologists came together to explore and raise awareness of these issues: BioHackathon 2009.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 8 12%
United States 5 7%
Spain 2 3%
Canada 1 1%
Belgium 1 1%
Sweden 1 1%
Netherlands 1 1%
Germany 1 1%
Unknown 48 71%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 29%
Student > Ph. D. Student 9 13%
Professor > Associate Professor 9 13%
Professor 8 12%
Student > Bachelor 5 7%
Other 10 15%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 47%
Computer Science 12 18%
Engineering 4 6%
Biochemistry, Genetics and Molecular Biology 4 6%
Medicine and Dentistry 4 6%
Other 4 6%
Unknown 8 12%

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 17 February 2012.
All research outputs
#1,331,807
of 12,010,397 outputs
Outputs from Journal of Biomedical Semantics
#48
of 312 outputs
Outputs of similar age
#10,929
of 92,401 outputs
Outputs of similar age from Journal of Biomedical Semantics
#1
of 6 outputs
Altmetric has tracked 12,010,397 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 312 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 84% 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 92,401 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 88% 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 all of them