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X Demographics
Mendeley readers
Attention Score in Context
| Title |
3D Structure From 2D Microscopy Images Using Deep Learning
|
|---|---|
| Published in |
arXiv, October 2021
|
| DOI | 10.3389/fbinf.2021.740342 |
| Pubmed ID | |
| Authors |
Benjamin Blundell, Christian Sieben, Suliana Manley, Ed Rosten, QueeLim Ch’ng, Susan Cox |
X Demographics
The data shown below were collected from the profiles of 13 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 | 15% |
| Germany | 1 | 8% |
| Switzerland | 1 | 8% |
| Sweden | 1 | 8% |
| Canada | 1 | 8% |
| Japan | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 4 | 31% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 25% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Master | 3 | 13% |
| Unspecified | 2 | 8% |
| Librarian | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 6 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Engineering | 3 | 13% |
| Physics and Astronomy | 3 | 13% |
| Unspecified | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 29 October 2022.
All research outputs
#2,297,254
of 24,703,227 outputs
Outputs from arXiv
#38,106
of 1,000,663 outputs
Outputs of similar age
#51,535
of 432,965 outputs
Outputs of similar age from arXiv
#1,205
of 35,279 outputs
Altmetric has tracked 24,703,227 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,000,663 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 96% 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 432,965 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 88% of its contemporaries.
We're also able to compare this research output to 35,279 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 96% of its contemporaries.