| Title |
Parametric and non-parametric gradient matching for network inference: a comparison
|
|---|---|
| Published in |
BMC Bioinformatics, January 2019
|
| DOI | 10.1186/s12859-018-2590-7 |
| Pubmed ID | |
| Authors |
Leander Dony, Fei He, Michael P. H. Stumpf |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| Australia | 1 | 9% |
| Sweden | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 64% |
| Members of the public | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 28% |
| Researcher | 9 | 25% |
| Student > Master | 3 | 8% |
| Student > Postgraduate | 2 | 6% |
| Professor > Associate Professor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Agricultural and Biological Sciences | 6 | 17% |
| Physics and Astronomy | 2 | 6% |
| Computer Science | 2 | 6% |
| Mathematics | 2 | 6% |
| Other | 8 | 22% |
| Unknown | 9 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 09 February 2019.
All research outputs
#2,426,436
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#726
of 7,387 outputs
Outputs of similar age
#59,288
of 439,056 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 191 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 90% 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 439,056 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 86% of its contemporaries.
We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.