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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Scalable transcriptomics analysis with Dask: applications in data science and machine learning
|
|---|---|
| Published in |
BMC Bioinformatics, November 2022
|
| DOI | 10.1186/s12859-022-05065-3 |
| Pubmed ID | |
| Authors |
Marta Moreno, Ricardo Vilaça, Pedro G. Ferreira |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 6% |
| Japan | 1 | 6% |
| Germany | 1 | 6% |
| United States | 1 | 6% |
| Israel | 1 | 6% |
| Sweden | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 9 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Scientists | 6 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 10% |
| Unspecified | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 11 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Unspecified | 1 | 5% |
| Computer Science | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 12 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 06 December 2022.
All research outputs
#5,069,289
of 24,954,788 outputs
Outputs from BMC Bioinformatics
#1,780
of 7,616 outputs
Outputs of similar age
#106,175
of 483,283 outputs
Outputs of similar age from BMC Bioinformatics
#26
of 154 outputs
Altmetric has tracked 24,954,788 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,616 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 well, scoring higher than 76% 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 483,283 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 78% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.