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X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
|
---|---|
Published in |
Scientific Reports, November 2019
|
DOI | 10.1038/s41598-019-53217-y |
Pubmed ID | |
Authors |
Steven A. Hicks, Jorunn M. Andersen, Oliwia Witczak, Vajira Thambawita, Pål Halvorsen, Hugo L. Hammer, Trine B. Haugen, Michael A. Riegler |
X Demographics
The data shown below were collected from the profiles of 79 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 | 13 | 16% |
Norway | 6 | 8% |
Canada | 3 | 4% |
Italy | 2 | 3% |
Nigeria | 2 | 3% |
Brazil | 1 | 1% |
Nepal | 1 | 1% |
Kenya | 1 | 1% |
France | 1 | 1% |
Other | 12 | 15% |
Unknown | 37 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 65 | 82% |
Scientists | 9 | 11% |
Science communicators (journalists, bloggers, editors) | 3 | 4% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Unknown | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 118 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 14% |
Researcher | 12 | 10% |
Student > Bachelor | 12 | 10% |
Student > Master | 10 | 8% |
Student > Postgraduate | 7 | 6% |
Other | 15 | 13% |
Unknown | 46 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 17 | 14% |
Computer Science | 12 | 10% |
Biochemistry, Genetics and Molecular Biology | 10 | 8% |
Medicine and Dentistry | 10 | 8% |
Agricultural and Biological Sciences | 5 | 4% |
Other | 14 | 12% |
Unknown | 50 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 November 2021.
All research outputs
#926,212
of 25,506,250 outputs
Outputs from Scientific Reports
#9,748
of 141,447 outputs
Outputs of similar age
#20,093
of 375,412 outputs
Outputs of similar age from Scientific Reports
#301
of 4,428 outputs
Altmetric has tracked 25,506,250 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 141,447 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done particularly well, scoring higher than 93% 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 375,412 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 94% of its contemporaries.
We're also able to compare this research output to 4,428 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.