The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology
|
|---|---|
| Published in |
Frontiers in Medicine, January 2022
|
| DOI | 10.3389/fmed.2021.816281 |
| Pubmed ID | |
| Authors |
Henrik Sahlin Pettersen, Ilya Belevich, Elin Synnøve Røyset, Erik Smistad, Melanie Rae Simpson, Eija Jokitalo, Ingerid Reinertsen, Ingunn Bakke, André Pedersen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 18% |
| Student > Master | 5 | 15% |
| Professor | 4 | 12% |
| Lecturer | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 15% |
| Medicine and Dentistry | 3 | 9% |
| Engineering | 3 | 9% |
| Neuroscience | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 14 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 February 2022.
All research outputs
#15,055,192
of 26,017,215 outputs
Outputs from Frontiers in Medicine
#2,502
of 7,301 outputs
Outputs of similar age
#218,875
of 521,231 outputs
Outputs of similar age from Frontiers in Medicine
#213
of 644 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,301 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has gotten more attention than average, scoring higher than 64% 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 521,231 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 57% of its contemporaries.
We're also able to compare this research output to 644 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 66% of its contemporaries.