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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Image-based classification of plant genus and family for trained and untrained plant species
|
|---|---|
| Published in |
BMC Bioinformatics, January 2019
|
| DOI | 10.1186/s12859-018-2474-x |
| Pubmed ID | |
| Authors |
Marco Seeland, Michael Rzanny, David Boho, Jana Wäldchen, Patrick Mäder |
X Demographics
The data shown below were collected from the profiles of 5 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 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
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 % |
|---|---|---|
| Student > Master | 14 | 13% |
| Researcher | 13 | 12% |
| Student > Ph. D. Student | 13 | 12% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 4 | 4% |
| Other | 16 | 15% |
| Unknown | 38 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 20% |
| Agricultural and Biological Sciences | 16 | 15% |
| Environmental Science | 8 | 7% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Engineering | 5 | 5% |
| Other | 10 | 9% |
| Unknown | 41 | 38% |
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 27 August 2023.
All research outputs
#4,999,255
of 24,336,902 outputs
Outputs from BMC Bioinformatics
#1,817
of 7,517 outputs
Outputs of similar age
#108,372
of 446,116 outputs
Outputs of similar age from BMC Bioinformatics
#52
of 219 outputs
Altmetric has tracked 24,336,902 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 7,517 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 75% 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 446,116 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 75% of its contemporaries.
We're also able to compare this research output to 219 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.