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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CeTF: an R/Bioconductor package for transcription factor co-expression networks using regulatory impact factors (RIF) and partial correlation and information (PCIT) analysis
|
|---|---|
| Published in |
BMC Genomics, August 2021
|
| DOI | 10.1186/s12864-021-07918-2 |
| Pubmed ID | |
| Authors |
Carlos Alberto Oliveira de Biagi, Ricardo Perecin Nociti, Danielle Barbosa Brotto, Breno Osvaldo Funicheli, Patrícia de Cássia Ruy, João Paulo Bianchi Ximenez, David Livingstone Alves Figueiredo, Wilson Araújo Silva |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 15% |
| Student > Master | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Researcher | 3 | 9% |
| Professor | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 14 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 15% |
| Computer Science | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 17 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 August 2021.
All research outputs
#7,753,480
of 23,577,761 outputs
Outputs from BMC Genomics
#3,709
of 10,800 outputs
Outputs of similar age
#156,375
of 433,439 outputs
Outputs of similar age from BMC Genomics
#34
of 142 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,800 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 58% 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 433,439 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 142 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 73% of its contemporaries.