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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Linking CRISPR-Cas9 interference in cassava to the evolution of editing-resistant geminiviruses
|
|---|---|
| Published in |
Genome Biology, April 2019
|
| DOI | 10.1186/s13059-019-1678-3 |
| Pubmed ID | |
| Authors |
Devang Mehta, Alessandra Stürchler, Ravi B. Anjanappa, Syed Shan-e-Ali Zaidi, Matthias Hirsch-Hoffmann, Wilhelm Gruissem, Hervé Vanderschuren |
Twitter Demographics
The data shown below were collected from the profiles of 81 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 14% |
| Spain | 3 | 4% |
| Belgium | 3 | 4% |
| Saudi Arabia | 2 | 2% |
| United Kingdom | 2 | 2% |
| Nigeria | 2 | 2% |
| United Arab Emirates | 1 | 1% |
| Canada | 1 | 1% |
| Indonesia | 1 | 1% |
| Other | 12 | 15% |
| Unknown | 43 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 54 | 67% |
| Scientists | 19 | 23% |
| Science communicators (journalists, bloggers, editors) | 6 | 7% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 200 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 16% |
| Researcher | 31 | 16% |
| Student > Master | 21 | 11% |
| Student > Bachelor | 14 | 7% |
| Other | 13 | 7% |
| Other | 31 | 16% |
| Unknown | 58 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 36% |
| Biochemistry, Genetics and Molecular Biology | 39 | 20% |
| Unspecified | 5 | 3% |
| Business, Management and Accounting | 4 | 2% |
| Engineering | 4 | 2% |
| Other | 18 | 9% |
| Unknown | 59 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 147. 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 18 April 2023.
All research outputs
#264,401
of 24,416,081 outputs
Outputs from Genome Biology
#108
of 4,327 outputs
Outputs of similar age
#5,749
of 355,154 outputs
Outputs of similar age from Genome Biology
#8
of 66 outputs
Altmetric has tracked 24,416,081 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 4,327 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has done particularly well, scoring higher than 97% 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 355,154 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 98% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.