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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PlanktoVision - an automated analysis system for the identification of phytoplankton
|
|---|---|
| Published in |
BMC Bioinformatics, March 2013
|
| DOI | 10.1186/1471-2105-14-115 |
| Pubmed ID | |
| Authors |
Katja Schulze, Ulrich M Tillich, Thomas Dandekar, Marcus Frohme |
| Abstract |
Phytoplankton communities are often used as a marker for the determination of fresh water quality. The routine analysis, however, is very time consuming and expensive as it is carried out manually by trained personnel. The goal of this work is to develop a system for an automated analysis. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Israel | 1 | 1% |
| India | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 92 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 23% |
| Student > Ph. D. Student | 17 | 18% |
| Student > Master | 15 | 16% |
| Student > Bachelor | 8 | 8% |
| Student > Doctoral Student | 4 | 4% |
| Other | 13 | 14% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 38% |
| Environmental Science | 11 | 12% |
| Earth and Planetary Sciences | 10 | 11% |
| Computer Science | 6 | 6% |
| Engineering | 4 | 4% |
| Other | 10 | 11% |
| Unknown | 18 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 30 March 2013.
All research outputs
#15,267,294
of 22,703,044 outputs
Outputs from BMC Bioinformatics
#5,362
of 7,254 outputs
Outputs of similar age
#123,865
of 197,839 outputs
Outputs of similar age from BMC Bioinformatics
#109
of 145 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 197,839 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.