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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GENECI: A novel evolutionary machine learning consensus-based approach for the inference of gene regulatory networks
|
|---|---|
| Published in |
Computers in Biology & Medicine, February 2023
|
| DOI | 10.1016/j.compbiomed.2023.106653 |
| Pubmed ID | |
| Authors |
Adrián Segura-Ortiz, José García-Nieto, José F Aldana-Montes, Ismael Navas-Delgado |
X Demographics
The data shown below were collected from the profiles of 37 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 | 8 | 22% |
| Spain | 3 | 8% |
| Malaysia | 2 | 5% |
| United Kingdom | 1 | 3% |
| Japan | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 21 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 59% |
| Scientists | 13 | 35% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Researcher | 1 | 11% |
| Unknown | 6 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Unknown | 7 | 78% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 03 February 2024.
All research outputs
#1,911,607
of 25,658,541 outputs
Outputs from Computers in Biology & Medicine
#49
of 2,809 outputs
Outputs of similar age
#41,733
of 493,038 outputs
Outputs of similar age from Computers in Biology & Medicine
#3
of 125 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,809 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 98% 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 493,038 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.