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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Network motifs and their origins
|
|---|---|
| Published in |
PLoS Computational Biology, April 2019
|
| DOI | 10.1371/journal.pcbi.1006749 |
| Pubmed ID | |
| Authors |
Lewi Stone, Daniel Simberloff, Yael Artzy-Randrup |
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 % |
|---|---|---|
| United States | 9 | 28% |
| France | 3 | 9% |
| Japan | 3 | 9% |
| Germany | 2 | 6% |
| United Kingdom | 2 | 6% |
| Italy | 1 | 3% |
| India | 1 | 3% |
| Argentina | 1 | 3% |
| Austria | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 56% |
| Members of the public | 12 | 38% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 136 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 24% |
| Researcher | 21 | 15% |
| Professor | 11 | 8% |
| Student > Bachelor | 11 | 8% |
| Student > Master | 10 | 7% |
| Other | 16 | 12% |
| Unknown | 34 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 17% |
| Biochemistry, Genetics and Molecular Biology | 21 | 15% |
| Engineering | 10 | 7% |
| Environmental Science | 8 | 6% |
| Computer Science | 7 | 5% |
| Other | 31 | 23% |
| Unknown | 36 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 25 April 2019.
All research outputs
#2,131,910
of 25,385,509 outputs
Outputs from PLoS Computational Biology
#1,886
of 8,961 outputs
Outputs of similar age
#47,119
of 366,654 outputs
Outputs of similar age from PLoS Computational Biology
#52
of 204 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 78% 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 366,654 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 87% of its contemporaries.
We're also able to compare this research output to 204 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.