| Title |
Increased efficiency in identifying mixed pollen samples by meta-barcoding with a dual-indexing approach
|
|---|---|
| Published in |
BMC Ecology and Evolution, July 2015
|
| DOI | 10.1186/s12898-015-0051-y |
| Pubmed ID | |
| Authors |
Wiebke Sickel, Markus J Ankenbrand, Gudrun Grimmer, Andrea Holzschuh, Stephan Härtel, Jonathan Lanzen, Ingolf Steffan-Dewenter, Alexander Keller |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| Belgium | 2 | <1% |
| Australia | 1 | <1% |
| Argentina | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 310 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 69 | 21% |
| Student > Ph. D. Student | 64 | 20% |
| Student > Master | 42 | 13% |
| Student > Bachelor | 35 | 11% |
| Student > Doctoral Student | 15 | 5% |
| Other | 45 | 14% |
| Unknown | 51 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 159 | 50% |
| Environmental Science | 43 | 13% |
| Biochemistry, Genetics and Molecular Biology | 29 | 9% |
| Engineering | 7 | 2% |
| Computer Science | 3 | <1% |
| Other | 14 | 4% |
| Unknown | 66 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 July 2015.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from BMC Ecology and Evolution
#2,039
of 3,739 outputs
Outputs of similar age
#96,574
of 277,035 outputs
Outputs of similar age from BMC Ecology and Evolution
#41
of 78 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,739 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 277,035 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 54% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.