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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Rule-Based Modelling of Cellular Signalling
|
|---|---|
| Chapter number | 3 |
| Book title |
CONCUR 2007 – Concurrency Theory
|
| Published in |
Lecture notes in computer science, January 2007
|
| DOI | 10.1007/978-3-540-74407-8_3 |
| Book ISBNs |
978-3-54-074406-1, 978-3-54-074407-8
|
| Authors |
Danos, Vincent, Feret, Jérôme, Fontana, Walter, Harmer, Russell, Krivine, Jean, Vincent Danos, Jérôme Feret, Walter Fontana, Russell Harmer, Jean Krivine |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 6% |
| United Kingdom | 6 | 4% |
| Switzerland | 2 | 1% |
| Chile | 1 | <1% |
| Uruguay | 1 | <1% |
| Austria | 1 | <1% |
| Australia | 1 | <1% |
| Germany | 1 | <1% |
| Taiwan | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 143 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 28% |
| Researcher | 48 | 28% |
| Student > Bachelor | 15 | 9% |
| Student > Master | 12 | 7% |
| Professor > Associate Professor | 9 | 5% |
| Other | 28 | 16% |
| Unknown | 11 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 36% |
| Computer Science | 46 | 27% |
| Biochemistry, Genetics and Molecular Biology | 16 | 9% |
| Physics and Astronomy | 8 | 5% |
| Engineering | 8 | 5% |
| Other | 18 | 11% |
| Unknown | 13 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 May 2020.
All research outputs
#15,437,553
of 22,947,506 outputs
Outputs from Lecture notes in computer science
#4,649
of 8,133 outputs
Outputs of similar age
#133,783
of 157,428 outputs
Outputs of similar age from Lecture notes in computer science
#44
of 59 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,133 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 157,428 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.