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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams
|
|---|---|
| Published in |
PLOS ONE, June 2022
|
| DOI | 10.1371/journal.pone.0269449 |
| Pubmed ID | |
| Authors |
Ho-min Park, Sanghyeon Park, Maria Krishna de Guzman, Ji Yeon Baek, Tanja Cirkovic Velickovic, Arnout Van Messem, Wesley De Neve |
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 % |
|---|---|---|
| Belgium | 1 | 20% |
| France | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 20% |
| Professor | 2 | 10% |
| Lecturer | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 15% |
| Environmental Science | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Chemistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 12 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 05 October 2022.
All research outputs
#1,675,407
of 23,482,849 outputs
Outputs from PLOS ONE
#21,418
of 201,019 outputs
Outputs of similar age
#37,938
of 442,248 outputs
Outputs of similar age from PLOS ONE
#302
of 4,833 outputs
Altmetric has tracked 23,482,849 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 201,019 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 89% 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 442,248 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 4,833 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.