The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Empowering inclusivity: improving readability of living kidney donation information with ChatGPT
|
|---|---|
| Published in |
Frontiers in Digital Health, April 2024
|
| DOI | 10.3389/fdgth.2024.1366967 |
| Pubmed ID | |
| Authors |
Oscar A. Garcia Valencia, Charat Thongprayoon, Jing Miao, Supawadee Suppadungsuk, Pajaree Krisanapan, Iasmina M. Craici, Caroline C. Jadlowiec, Shennen A. Mao, Michael A. Mao, Napat Leeaphorn, Pooja Budhiraja, Wisit Cheungpasitporn |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 38% |
| Switzerland | 1 | 6% |
| Unknown | 9 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Scientists | 4 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 22% |
| Student > Master | 2 | 22% |
| Student > Doctoral Student | 1 | 11% |
| Unspecified | 1 | 11% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 22% |
| Unspecified | 1 | 11% |
| Nursing and Health Professions | 1 | 11% |
| Business, Management and Accounting | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 3 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 27 April 2024.
All research outputs
#4,449,707
of 26,377,159 outputs
Outputs from Frontiers in Digital Health
#171
of 903 outputs
Outputs of similar age
#60,109
of 347,480 outputs
Outputs of similar age from Frontiers in Digital Health
#5
of 54 outputs
Altmetric has tracked 26,377,159 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 903 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 81% 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 347,480 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 82% of its contemporaries.
We're also able to compare this research output to 54 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 90% of its contemporaries.