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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Convolutional Neural Networks Can Predict Retinal Differentiation in Retinal Organoids
|
|---|---|
| Published in |
Frontiers in Cellular Neuroscience, July 2020
|
| DOI | 10.3389/fncel.2020.00171 |
| Pubmed ID | |
| Authors |
Evgenii Kegeles, Anton Naumov, Evgeny A. Karpulevich, Pavel Volchkov, Petr Baranov |
X Demographics
The data shown below were collected from the profiles of 124 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 | 23 | 19% |
| India | 12 | 10% |
| United Kingdom | 11 | 9% |
| Peru | 2 | 2% |
| Ireland | 2 | 2% |
| Nigeria | 2 | 2% |
| Italy | 2 | 2% |
| South Africa | 2 | 2% |
| Portugal | 1 | <1% |
| Other | 20 | 16% |
| Unknown | 47 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 105 | 85% |
| Scientists | 13 | 10% |
| Science communicators (journalists, bloggers, editors) | 4 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
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 | 9 | 16% |
| Student > Ph. D. Student | 7 | 12% |
| Student > Bachelor | 5 | 9% |
| Student > Doctoral Student | 3 | 5% |
| Student > Master | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 24 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Agricultural and Biological Sciences | 4 | 7% |
| Computer Science | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 26 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 174. 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 11 January 2024.
All research outputs
#238,085
of 25,830,005 outputs
Outputs from Frontiers in Cellular Neuroscience
#22
of 4,757 outputs
Outputs of similar age
#7,696
of 433,224 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#1
of 116 outputs
Altmetric has tracked 25,830,005 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,757 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 99% 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 433,224 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 98% of its contemporaries.
We're also able to compare this research output to 116 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 99% of its contemporaries.