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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
In Vitro Implementation of a Stack Data Structure Based on DNA Strand Displacement
|
|---|---|
| Chapter number | 8 |
| Book title |
Unconventional Computation and Natural Computation
|
| Published in |
Lecture notes in computer science, June 2016
|
| DOI | 10.1007/978-3-319-41312-9_8 |
| Book ISBNs |
978-3-31-941311-2, 978-3-31-941312-9
|
| Authors |
Harold Fellermann, Annunziata Lopiccolo, Jerzy Kozyra, Natalio Krasnogor |
| Editors |
Martyn Amos, ANNE CONDON |
X Demographics
The data shown below were collected from the profiles of 10 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 Kingdom | 7 | 70% |
| Spain | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 25% |
| Student > Doctoral Student | 2 | 13% |
| Student > Bachelor | 2 | 13% |
| Researcher | 2 | 13% |
| Other | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 19% |
| Agricultural and Biological Sciences | 3 | 19% |
| Computer Science | 3 | 19% |
| Immunology and Microbiology | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 05 March 2019.
All research outputs
#5,542,575
of 25,770,491 outputs
Outputs from Lecture notes in computer science
#1,623
of 8,170 outputs
Outputs of similar age
#90,689
of 369,104 outputs
Outputs of similar age from Lecture notes in computer science
#75
of 354 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,170 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 80% 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 369,104 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 75% of its contemporaries.
We're also able to compare this research output to 354 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.