| Title |
Testing biological network motif significance with exponential random graph models
|
|---|---|
| Published in |
Applied Network Science, November 2021
|
| DOI | 10.1007/s41109-021-00434-y |
| Pubmed ID | |
| Authors |
Alex Stivala, Alessandro Lomi |
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 States | 1 | 10% |
| Canada | 1 | 10% |
| France | 1 | 10% |
| Ireland | 1 | 10% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
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 | 3 | 19% |
| Unspecified | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Postgraduate | 2 | 13% |
| Student > Master | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Social Sciences | 2 | 13% |
| Neuroscience | 2 | 13% |
| Computer Science | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 5 | 31% |
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 26 November 2021.
All research outputs
#5,762,290
of 23,191,112 outputs
Outputs from Applied Network Science
#152
of 511 outputs
Outputs of similar age
#125,497
of 508,459 outputs
Outputs of similar age from Applied Network Science
#4
of 29 outputs
Altmetric has tracked 23,191,112 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 511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 69% 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 508,459 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 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.