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Databases for multilevel biophysiology research available at Physiome.jp

Overview of attention for article published in Frontiers in Physiology, September 2015
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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3 X users

Citations

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7 Dimensions

Readers on

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13 Mendeley
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Title
Databases for multilevel biophysiology research available at Physiome.jp
Published in
Frontiers in Physiology, September 2015
DOI 10.3389/fphys.2015.00251
Pubmed ID
Authors

Yoshiyuki Asai, Takeshi Abe, Li Li, Hideki Oka, Taishin Nomura, Hiroaki Kitano

Abstract

Physiome.jp (http://physiome.jp) is a portal site inaugurated in 2007 to support model-based research in physiome and systems biology. At Physiome.jp, several tools and databases are available to support construction of physiological, multi-hierarchical, large-scale models. There are three databases in Physiome.jp, housing mathematical models, morphological data, and time-series data. In late 2013, the site was fully renovated, and in May 2015, new functions were implemented to provide information infrastructure to support collaborative activities for developing models and performing simulations within the database framework. This article describes updates to the databases implemented since 2013, including cooperation among the three databases, interactive model browsing, user management, version management of models, management of parameter sets, and interoperability with applications.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Professor 3 23%
Student > Bachelor 3 23%
Other 2 15%
Student > Ph. D. Student 2 15%
Researcher 2 15%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Engineering 4 31%
Agricultural and Biological Sciences 2 15%
Computer Science 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Neuroscience 1 8%
Other 1 8%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 September 2015.
All research outputs
#13,955,130
of 22,828,180 outputs
Outputs from Frontiers in Physiology
#4,902
of 13,603 outputs
Outputs of similar age
#133,280
of 267,220 outputs
Outputs of similar age from Frontiers in Physiology
#27
of 82 outputs
Altmetric has tracked 22,828,180 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,603 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 61% 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 267,220 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.