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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package
|
|---|---|
| Published in |
BMC Bioinformatics, May 2021
|
| DOI | 10.1186/s12859-021-04179-4 |
| Pubmed ID | |
| Authors |
Gwenaëlle G. Lemoine, Marie-Pier Scott-Boyer, Bathilde Ambroise, Olivier Périn, Arnaud Droit |
X Demographics
The data shown below were collected from the profiles of 40 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 | 7 | 18% |
| United States | 3 | 8% |
| Canada | 2 | 5% |
| Japan | 2 | 5% |
| France | 2 | 5% |
| Sweden | 2 | 5% |
| Norway | 1 | 3% |
| Finland | 1 | 3% |
| Singapore | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 17 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 57% |
| Members of the public | 15 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 98 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 20% |
| Researcher | 17 | 17% |
| Student > Master | 10 | 10% |
| Student > Doctoral Student | 6 | 6% |
| Student > Bachelor | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 30 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 19% |
| Agricultural and Biological Sciences | 19 | 19% |
| Computer Science | 8 | 8% |
| Immunology and Microbiology | 6 | 6% |
| Neuroscience | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 35 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 30 July 2021.
All research outputs
#1,607,953
of 24,569,575 outputs
Outputs from BMC Bioinformatics
#279
of 7,555 outputs
Outputs of similar age
#40,784
of 438,474 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 184 outputs
Altmetric has tracked 24,569,575 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,555 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 96% 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 438,474 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 90% of its contemporaries.
We're also able to compare this research output to 184 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 96% of its contemporaries.