| Title |
The Public Perception of the #GeneEditedBabies Event Across Multiple Social Media Platforms: Observational Study
|
|---|---|
| Published in |
Journal of Medical Internet Research, March 2022
|
| DOI | 10.2196/31687 |
| Pubmed ID | |
| Authors |
Congning Ni, Zhiyu Wan, Chao Yan, Yongtai Liu, Ellen Wright Clayton, Bradley Malin, Zhijun Yin |
X Demographics
The data shown below were collected from the profiles of 10 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 | 4 | 40% |
| Canada | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
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 % |
|---|---|---|
| Lecturer | 5 | 15% |
| Student > Ph. D. Student | 3 | 9% |
| Researcher | 3 | 9% |
| Student > Bachelor | 1 | 3% |
| Student > Master | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 19 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 3 | 9% |
| Computer Science | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 19 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 26 April 2022.
All research outputs
#2,656,845
of 25,392,582 outputs
Outputs from Journal of Medical Internet Research
#2,227
of 7,870 outputs
Outputs of similar age
#62,005
of 446,843 outputs
Outputs of similar age from Journal of Medical Internet Research
#39
of 246 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,870 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one has gotten more attention than average, scoring higher than 71% 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 446,843 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 86% of its contemporaries.
We're also able to compare this research output to 246 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.