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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets
|
|---|---|
| Published in |
BMC Bioinformatics, June 2021
|
| DOI | 10.1186/s12859-021-04270-w |
| Pubmed ID | |
| Authors |
Léa Pradier, Tazzio Tissot, Anna-Sophie Fiston-Lavier, Stéphanie Bedhomme |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 13% |
| India | 1 | 13% |
| Japan | 1 | 13% |
| Sweden | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 15% |
| Student > Ph. D. Student | 7 | 13% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 4 | 7% |
| Student > Doctoral Student | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 18 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 24% |
| Agricultural and Biological Sciences | 6 | 11% |
| Immunology and Microbiology | 5 | 9% |
| Computer Science | 4 | 7% |
| Business, Management and Accounting | 3 | 6% |
| Other | 3 | 6% |
| Unknown | 20 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 June 2021.
All research outputs
#7,831,925
of 25,093,754 outputs
Outputs from BMC Bioinformatics
#2,857
of 7,646 outputs
Outputs of similar age
#155,654
of 435,047 outputs
Outputs of similar age from BMC Bioinformatics
#62
of 151 outputs
Altmetric has tracked 25,093,754 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,646 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 gotten more attention than average, scoring higher than 60% 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 435,047 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 63% of its contemporaries.
We're also able to compare this research output to 151 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 57% of its contemporaries.