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 |
pSpatiocyte: a high-performance simulator for intracellular reaction-diffusion systems
|
|---|---|
| Published in |
BMC Bioinformatics, January 2020
|
| DOI | 10.1186/s12859-019-3338-8 |
| Pubmed ID | |
| Authors |
Satya N.V. Arjunan, Atsushi Miyauchi, Kazunari Iwamoto, Koichi Takahashi |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 15 | 47% |
| Unknown | 17 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 91% |
| Scientists | 2 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
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 % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 31% |
| Student > Ph. D. Student | 3 | 23% |
| Student > Bachelor | 1 | 8% |
| Other | 1 | 8% |
| Professor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 31% |
| Agricultural and Biological Sciences | 2 | 15% |
| Chemical Engineering | 1 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Physics and Astronomy | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 2 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 08 November 2022.
All research outputs
#1,599,523
of 25,728,855 outputs
Outputs from BMC Bioinformatics
#243
of 7,738 outputs
Outputs of similar age
#39,435
of 477,662 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 179 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,738 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 96% 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 477,662 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 91% of its contemporaries.
We're also able to compare this research output to 179 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 97% of its contemporaries.