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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Large scale genome skimming from herbarium material for accurate plant identification and phylogenomics
|
|---|---|
| Published in |
Plant Methods, January 2020
|
| DOI | 10.1186/s13007-019-0534-5 |
| Pubmed ID | |
| Authors |
Paul G. Nevill, Xiao Zhong, Julian Tonti-Filippini, Margaret Byrne, Michael Hislop, Kevin Thiele, Stephen van Leeuwen, Laura M. Boykin, Ian Small |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 6 | 23% |
| New Zealand | 4 | 15% |
| United States | 4 | 15% |
| United Kingdom | 3 | 12% |
| Cameroon | 1 | 4% |
| Finland | 1 | 4% |
| Singapore | 1 | 4% |
| Unknown | 6 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 54% |
| Scientists | 11 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 14% |
| Student > Master | 14 | 13% |
| Student > Ph. D. Student | 13 | 12% |
| Student > Bachelor | 8 | 7% |
| Student > Doctoral Student | 7 | 7% |
| Other | 20 | 19% |
| Unknown | 30 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 41% |
| Biochemistry, Genetics and Molecular Biology | 14 | 13% |
| Environmental Science | 8 | 7% |
| Materials Science | 2 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 29 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 09 September 2021.
All research outputs
#1,816,962
of 22,669,724 outputs
Outputs from Plant Methods
#82
of 1,070 outputs
Outputs of similar age
#46,578
of 453,404 outputs
Outputs of similar age from Plant Methods
#5
of 41 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,070 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 92% 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 453,404 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 41 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 90% of its contemporaries.