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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OpSeF: Open Source Python Framework for Collaborative Instance Segmentation of Bioimages
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, October 2020
|
| DOI | 10.3389/fbioe.2020.558880 |
| Pubmed ID | |
| Authors |
Tobias M. Rasse, Réka Hollandi, Peter Horvath |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 25% |
| Finland | 1 | 13% |
| France | 1 | 13% |
| Norway | 1 | 13% |
| Germany | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 19% |
| Student > Ph. D. Student | 6 | 11% |
| Other | 4 | 7% |
| Student > Master | 4 | 7% |
| Lecturer > Senior Lecturer | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 24 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 19% |
| Computer Science | 8 | 14% |
| Medicine and Dentistry | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 29 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 September 2023.
All research outputs
#7,629,858
of 26,017,215 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,241
of 8,646 outputs
Outputs of similar age
#158,150
of 438,019 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#89
of 320 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,646 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 85% 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 438,019 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 62% of its contemporaries.
We're also able to compare this research output to 320 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 71% of its contemporaries.