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Mendeley readers
Attention Score in Context
Title |
The use of induced pluripotent stem cells to reveal pathogenic gene mutations and explore treatments for retinitis pigmentosa
|
---|---|
Published in |
Molecular Brain, June 2014
|
DOI | 10.1186/1756-6606-7-45 |
Pubmed ID | |
Authors |
Tetsu Yoshida, Yoko Ozawa, Keiichiro Suzuki, Kenya Yuki, Manabu Ohyama, Wado Akamatsu, Yumi Matsuzaki, Shigeto Shimmura, Kohnosuke Mitani, Kazuo Tsubota, Hideyuki Okano |
Abstract |
Retinitis pigmentosa (RP) is an inherited human retinal disorder that causes progressive photoreceptor cell loss, leading to severe vision impairment or blindness. However, no effective therapy has been established to date. Although genetic mutations have been identified, the available clinical data are not always sufficient to elucidate the roles of these mutations in disease pathogenesis, a situation that is partially due to differences in genetic backgrounds. |
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 % |
---|---|---|
South Africa | 1 | 10% |
United Kingdom | 1 | 10% |
Unknown | 8 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 40% |
Practitioners (doctors, other healthcare professionals) | 2 | 20% |
Science communicators (journalists, bloggers, editors) | 2 | 20% |
Scientists | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
South Africa | 1 | <1% |
Unknown | 120 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 16% |
Researcher | 18 | 15% |
Student > Bachelor | 12 | 10% |
Student > Master | 11 | 9% |
Student > Doctoral Student | 10 | 8% |
Other | 23 | 19% |
Unknown | 29 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 29 | 24% |
Agricultural and Biological Sciences | 21 | 17% |
Medicine and Dentistry | 17 | 14% |
Neuroscience | 13 | 11% |
Engineering | 4 | 3% |
Other | 9 | 7% |
Unknown | 29 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 22 June 2014.
All research outputs
#2,410,886
of 22,757,090 outputs
Outputs from Molecular Brain
#88
of 1,106 outputs
Outputs of similar age
#23,237
of 206,472 outputs
Outputs of similar age from Molecular Brain
#2
of 15 outputs
Altmetric has tracked 22,757,090 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 1,106 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 91% 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 206,472 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 88% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.