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 |
LibKiSAO: a Java library for Querying KiSAO
|
---|---|
Published in |
BMC Research Notes, September 2012
|
DOI | 10.1186/1756-0500-5-520 |
Pubmed ID | |
Authors |
Anna Zhukova, Richard Adams, Camille Laibe, Nicolas Le Novère |
Abstract |
The Kinetic Simulation Algorithm Ontology (KiSAO) supplies information about existing algorithms available for the simulation of Systems Biology models, their characteristics, parameters and inter-relationships. KiSAO enables the unambiguous identification of algorithms from simulation descriptions. Information about analogous methods having similar characteristics and about algorithm parameters incorporated into KiSAO is desirable for simulation tools. To retrieve this information programmatically an application programming interface (API) for KiSAO is needed. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 25% |
United States | 1 | 13% |
New Zealand | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 7% |
Unknown | 14 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 47% |
Student > Bachelor | 3 | 20% |
Professor > Associate Professor | 2 | 13% |
Student > Ph. D. Student | 1 | 7% |
Student > Master | 1 | 7% |
Other | 1 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 7 | 47% |
Computer Science | 4 | 27% |
Engineering | 2 | 13% |
Social Sciences | 1 | 7% |
Unknown | 1 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 04 October 2012.
All research outputs
#5,559,466
of 22,679,690 outputs
Outputs from BMC Research Notes
#796
of 4,252 outputs
Outputs of similar age
#40,054
of 171,470 outputs
Outputs of similar age from BMC Research Notes
#17
of 89 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,252 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 81% 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 171,470 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 76% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.