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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets
|
|---|---|
| Published in |
Frontiers in Genetics, March 2020
|
| DOI | 10.3389/fgene.2020.00211 |
| Pubmed ID | |
| Authors |
Luca Cozzuto, Huanle Liu, Leszek P. Pryszcz, Toni Hermoso Pulido, Anna Delgado-Tejedor, Julia Ponomarenko, Eva Maria Novoa |
X Demographics
The data shown below were collected from the profiles of 91 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 15 | 16% |
| United States | 14 | 15% |
| United Kingdom | 7 | 8% |
| Australia | 3 | 3% |
| Germany | 3 | 3% |
| Netherlands | 3 | 3% |
| Japan | 3 | 3% |
| Russia | 2 | 2% |
| Singapore | 2 | 2% |
| Other | 13 | 14% |
| Unknown | 26 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 47 | 52% |
| Scientists | 42 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 205 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 18% |
| Researcher | 34 | 17% |
| Student > Master | 26 | 13% |
| Student > Bachelor | 19 | 9% |
| Student > Doctoral Student | 12 | 6% |
| Other | 24 | 12% |
| Unknown | 53 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 71 | 35% |
| Agricultural and Biological Sciences | 32 | 16% |
| Immunology and Microbiology | 11 | 5% |
| Computer Science | 7 | 3% |
| Chemistry | 4 | 2% |
| Other | 20 | 10% |
| Unknown | 60 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 97. 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 07 July 2023.
All research outputs
#428,669
of 25,169,746 outputs
Outputs from Frontiers in Genetics
#57
of 13,549 outputs
Outputs of similar age
#11,973
of 399,921 outputs
Outputs of similar age from Frontiers in Genetics
#2
of 411 outputs
Altmetric has tracked 25,169,746 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,549 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 99% 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 399,921 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 97% of its contemporaries.
We're also able to compare this research output to 411 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 99% of its contemporaries.