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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of machine learning in understanding plant virus pathogenesis: trends and perspectives on emergence, diagnosis, host-virus interplay and management
|
|---|---|
| Published in |
Virology Journal, March 2022
|
| DOI | 10.1186/s12985-022-01767-5 |
| Pubmed ID | |
| Authors |
Dibyendu Ghosh, Srija Chakraborty, Hariprasad Kodamana, Supriya Chakraborty |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 14% |
| United Kingdom | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 13% |
| Student > Doctoral Student | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 32 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 15% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Computer Science | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Environmental Science | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 33 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 25 April 2022.
All research outputs
#6,490,937
of 23,596,168 outputs
Outputs from Virology Journal
#671
of 3,124 outputs
Outputs of similar age
#131,089
of 441,783 outputs
Outputs of similar age from Virology Journal
#4
of 58 outputs
Altmetric has tracked 23,596,168 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,124 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done well, scoring higher than 78% 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 441,783 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 70% of its contemporaries.
We're also able to compare this research output to 58 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 91% of its contemporaries.