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X Demographics
Mendeley readers
Attention Score in Context
Title |
NaviCell: a web-based environment for navigation, curation and maintenance of large molecular interaction maps
|
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Published in |
BMC Systems Biology, October 2013
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DOI | 10.1186/1752-0509-7-100 |
Pubmed ID | |
Authors |
Inna Kuperstein, David PA Cohen, Stuart Pook, Eric Viara, Laurence Calzone, Emmanuel Barillot, Andrei Zinovyev |
Abstract |
Molecular biology knowledge can be formalized and systematically represented in a computer-readable form as a comprehensive map of molecular interactions. There exist an increasing number of maps of molecular interactions containing detailed and step-wise description of various cell mechanisms. It is difficult to explore these large maps, to organize discussion of their content and to maintain them. Several efforts were recently made to combine these capabilities together in one environment, and NaviCell is one of them. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 4% |
Portugal | 2 | 3% |
United Kingdom | 1 | 1% |
Bangladesh | 1 | 1% |
Peru | 1 | 1% |
Luxembourg | 1 | 1% |
Unknown | 68 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 24 | 31% |
Student > Ph. D. Student | 21 | 27% |
Student > Master | 6 | 8% |
Student > Doctoral Student | 4 | 5% |
Professor > Associate Professor | 4 | 5% |
Other | 11 | 14% |
Unknown | 7 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 29 | 38% |
Computer Science | 20 | 26% |
Biochemistry, Genetics and Molecular Biology | 10 | 13% |
Medicine and Dentistry | 5 | 6% |
Engineering | 2 | 3% |
Other | 4 | 5% |
Unknown | 7 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 26 November 2014.
All research outputs
#1,186,312
of 23,881,329 outputs
Outputs from BMC Systems Biology
#11
of 1,126 outputs
Outputs of similar age
#11,256
of 211,941 outputs
Outputs of similar age from BMC Systems Biology
#1
of 26 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,126 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 99% 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 211,941 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 94% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.