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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NovoGraph: Genome graph construction from multiple long-read de novo assemblies
|
|---|---|
| Published in |
F1000 Research, September 2018
|
| DOI | 10.12688/f1000research.15895.1 |
| Pubmed ID | |
| Authors |
Evan Biederstedt, Jeffrey C. Oliver, Nancy F. Hansen, Aarti Jajoo, Nathan Dunn, Andrew Olson, Ben Busby, Alexander T. Dilthey |
X Demographics
The data shown below were collected from the profiles of 69 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 28% |
| United Kingdom | 6 | 9% |
| Germany | 5 | 7% |
| Netherlands | 4 | 6% |
| France | 3 | 4% |
| Canada | 2 | 3% |
| Australia | 1 | 1% |
| Austria | 1 | 1% |
| China | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 23 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 49 | 71% |
| Members of the public | 18 | 26% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 32% |
| Other | 3 | 12% |
| Student > Doctoral Student | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 5 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 40% |
| Biochemistry, Genetics and Molecular Biology | 5 | 20% |
| Computer Science | 3 | 12% |
| Engineering | 1 | 4% |
| Unknown | 6 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. 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 November 2019.
All research outputs
#956,889
of 25,655,374 outputs
Outputs from F1000 Research
#257
of 6,059 outputs
Outputs of similar age
#20,063
of 346,393 outputs
Outputs of similar age from F1000 Research
#11
of 175 outputs
Altmetric has tracked 25,655,374 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,059 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 95% 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 346,393 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 94% of its contemporaries.
We're also able to compare this research output to 175 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 93% of its contemporaries.