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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton
|
|---|---|
| Published in |
BMC Ecology and Evolution, December 2018
|
| DOI | 10.1186/s12898-018-0209-5 |
| Pubmed ID | |
| Authors |
Susanne Dunker, David Boho, Jana Wäldchen, Patrick Mäder |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 20% |
| Singapore | 2 | 20% |
| United States | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 18% |
| Student > Master | 17 | 16% |
| Student > Ph. D. Student | 16 | 15% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 4 | 4% |
| Other | 6 | 6% |
| Unknown | 33 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 20% |
| Environmental Science | 12 | 12% |
| Engineering | 8 | 8% |
| Computer Science | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Other | 18 | 17% |
| Unknown | 36 | 35% |
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 12 January 2019.
All research outputs
#5,431,262
of 25,385,509 outputs
Outputs from BMC Ecology and Evolution
#1,316
of 3,714 outputs
Outputs of similar age
#113,134
of 445,099 outputs
Outputs of similar age from BMC Ecology and Evolution
#45
of 91 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 64% 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 445,099 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 74% of its contemporaries.
We're also able to compare this research output to 91 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 50% of its contemporaries.