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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Crowdfunding the Azolla fern genome project: a grassroots approach
|
|---|---|
| Published in |
Giga Science, September 2014
|
| DOI | 10.1186/2047-217x-3-16 |
| Pubmed ID | |
| Authors |
Fay-Wei Li, Kathleen M Pryer |
X Demographics
The data shown below were collected from the profiles of 40 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 | 11 | 28% |
| Canada | 5 | 13% |
| Hong Kong | 2 | 5% |
| United Kingdom | 2 | 5% |
| China | 1 | 3% |
| France | 1 | 3% |
| Sweden | 1 | 3% |
| Australia | 1 | 3% |
| Germany | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 15 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 20 | 50% |
| Members of the public | 15 | 38% |
| Science communicators (journalists, bloggers, editors) | 4 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Hong Kong | 2 | 3% |
| United Kingdom | 1 | 1% |
| Unknown | 70 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 20% |
| Student > Bachelor | 10 | 13% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Master | 8 | 11% |
| Other | 5 | 7% |
| Other | 16 | 21% |
| Unknown | 13 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 39% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Business, Management and Accounting | 9 | 12% |
| Computer Science | 4 | 5% |
| Medicine and Dentistry | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 16 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 20 July 2018.
All research outputs
#1,012,189
of 25,806,080 outputs
Outputs from Giga Science
#146
of 1,182 outputs
Outputs of similar age
#10,494
of 264,247 outputs
Outputs of similar age from Giga Science
#5
of 11 outputs
Altmetric has tracked 25,806,080 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 1,182 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.6. This one has done well, scoring higher than 87% 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 264,247 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 96% of its contemporaries.
We're also able to compare this research output to 11 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 54% of its contemporaries.