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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automating iPSC generation to enable autologous photoreceptor cell replacement therapy
|
|---|---|
| Published in |
Journal of Translational Medicine, February 2023
|
| DOI | 10.1186/s12967-023-03966-2 |
| Pubmed ID | |
| Authors |
Laura R. Bohrer, Nicholas E. Stone, Nathaniel K. Mullin, Andrew P. Voigt, Kristin R. Anfinson, Jessica L. Fick, Viviane Luangphakdy, Bradley Hittle, Kimerly Powell, George F. Muschler, Robert F. Mullins, Edwin M. Stone, Budd A. Tucker |
X Demographics
The data shown below were collected from the profiles of 22 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 | 3 | 14% |
| Germany | 2 | 9% |
| Japan | 1 | 5% |
| Mexico | 1 | 5% |
| United Kingdom | 1 | 5% |
| Canada | 1 | 5% |
| France | 1 | 5% |
| Spain | 1 | 5% |
| Bonaire, Sint Eustatius and Saba | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 73% |
| Scientists | 5 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Student > Bachelor | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Nursing and Health Professions | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 08 April 2024.
All research outputs
#2,008,276
of 25,658,139 outputs
Outputs from Journal of Translational Medicine
#368
of 4,692 outputs
Outputs of similar age
#40,732
of 424,241 outputs
Outputs of similar age from Journal of Translational Medicine
#14
of 145 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,692 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 92% 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 424,241 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 90% of its contemporaries.
We're also able to compare this research output to 145 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.