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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gebiss: an ImageJ plugin for the specification of ground truth and the performance evaluation of 3D segmentation algorithms
|
|---|---|
| Published in |
BMC Bioinformatics, June 2011
|
| DOI | 10.1186/1471-2105-12-232 |
| Pubmed ID | |
| Authors |
Janos Kriston-Vizi, Ng Wee Thong, Cheok Leong Poh, Kwo Chia Yee, Joan Sim Poh Ling, Rachel Kraut, Martin Wasser |
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 % |
|---|---|---|
| Germany | 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| Germany | 1 | 1% |
| Chile | 1 | 1% |
| Cuba | 1 | 1% |
| Singapore | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 69 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 26% |
| Student > Ph. D. Student | 13 | 17% |
| Student > Master | 10 | 13% |
| Professor > Associate Professor | 6 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 15 | 19% |
| Unknown | 9 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 29% |
| Computer Science | 16 | 21% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Medicine and Dentistry | 8 | 10% |
| Engineering | 7 | 9% |
| Other | 4 | 5% |
| Unknown | 12 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 May 2017.
All research outputs
#13,859,143
of 22,971,207 outputs
Outputs from BMC Bioinformatics
#4,465
of 7,306 outputs
Outputs of similar age
#79,375
of 114,088 outputs
Outputs of similar age from BMC Bioinformatics
#66
of 97 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,306 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 38th percentile – i.e., 38% 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 114,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.