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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
|
|---|---|
| Published in |
npj Digital Medicine, April 2019
|
| DOI | 10.1038/s41746-019-0096-y |
| Pubmed ID | |
| Authors |
Pegah Khosravi, Ehsan Kazemi, Qiansheng Zhan, Jonas E. Malmsten, Marco Toschi, Pantelis Zisimopoulos, Alexandros Sigaras, Stuart Lavery, Lee A. D. Cooper, Cristina Hickman, Marcos Meseguer, Zev Rosenwaks, Olivier Elemento, Nikica Zaninovic, Iman Hajirasouliha |
X Demographics
The data shown below were collected from the profiles of 143 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 | 48 | 34% |
| United Kingdom | 4 | 3% |
| Germany | 4 | 3% |
| Japan | 3 | 2% |
| Mexico | 3 | 2% |
| Saudi Arabia | 3 | 2% |
| Spain | 2 | 1% |
| India | 2 | 1% |
| Singapore | 2 | 1% |
| Other | 19 | 13% |
| Unknown | 53 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 101 | 71% |
| Scientists | 37 | 26% |
| Practitioners (doctors, other healthcare professionals) | 3 | 2% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 342 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 342 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 39 | 11% |
| Researcher | 38 | 11% |
| Student > Ph. D. Student | 32 | 9% |
| Student > Master | 31 | 9% |
| Other | 23 | 7% |
| Other | 38 | 11% |
| Unknown | 141 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 11% |
| Biochemistry, Genetics and Molecular Biology | 33 | 10% |
| Engineering | 28 | 8% |
| Computer Science | 27 | 8% |
| Agricultural and Biological Sciences | 18 | 5% |
| Other | 33 | 10% |
| Unknown | 164 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 234. 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 25 March 2024.
All research outputs
#165,345
of 25,746,891 outputs
Outputs from npj Digital Medicine
#51
of 1,029 outputs
Outputs of similar age
#3,403
of 365,792 outputs
Outputs of similar age from npj Digital Medicine
#2
of 31 outputs
Altmetric has tracked 25,746,891 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 1,029 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one has done particularly well, scoring higher than 95% 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 365,792 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 99% of its contemporaries.
We're also able to compare this research output to 31 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.