| Title |
Computational workflow to study the seasonal variation of secondary metabolites in nine different bryophytes
|
|---|---|
| Published in |
Scientific Data, August 2018
|
| DOI | 10.1038/sdata.2018.179 |
| Pubmed ID | |
| Authors |
Kristian Peters, Karin Gorzolka, Helge Bruelheide, Steffen Neumann |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 7% |
| France | 1 | 7% |
| Sweden | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 10 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 64% |
| Scientists | 4 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 26% |
| Researcher | 7 | 16% |
| Student > Bachelor | 4 | 9% |
| Student > Postgraduate | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 28% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Chemistry | 4 | 9% |
| Environmental Science | 3 | 7% |
| Computer Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 16 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 September 2018.
All research outputs
#5,437,342
of 25,837,817 outputs
Outputs from Scientific Data
#1,658
of 3,411 outputs
Outputs of similar age
#95,576
of 346,692 outputs
Outputs of similar age from Scientific Data
#35
of 65 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,411 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one has gotten more attention than average, scoring higher than 51% 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 346,692 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 72% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.