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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ABCA4-associated disease as a model for missing heritability in autosomal recessive disorders: novel noncoding splice, cis-regulatory, structural, and recurrent hypomorphic variants
|
|---|---|
| Published in |
Genetics in Medicine, January 2019
|
| DOI | 10.1038/s41436-018-0420-y |
| Pubmed ID | |
| Authors |
Miriam Bauwens, Alejandro Garanto, Riccardo Sangermano, Sarah Naessens, Nicole Weisschuh, Julie De Zaeytijd, Mubeen Khan, Françoise Sadler, Irina Balikova, Caroline Van Cauwenbergh, Toon Rosseel, Jim Bauwens, Kim De Leeneer, Sarah De Jaegere, Thalia Van Laethem, Meindert De Vries, Keren Carss, Gavin Arno, Ana Fakin, Andrew R. Webster, Thomy J. L. de Ravel de l’Argentière, Yves Sznajer, Marnik Vuylsteke, Susanne Kohl, Bernd Wissinger, Timothy Cherry, Rob W. J. Collin, Frans P. M. Cremers, Bart P. Leroy, Elfride De Baere |
X Demographics
The data shown below were collected from the profiles of 15 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 Kingdom | 4 | 27% |
| United States | 3 | 20% |
| Spain | 2 | 13% |
| Netherlands | 2 | 13% |
| Belgium | 2 | 13% |
| Unknown | 2 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 6 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 17% |
| Researcher | 13 | 14% |
| Student > Master | 13 | 14% |
| Student > Bachelor | 12 | 13% |
| Student > Postgraduate | 6 | 7% |
| Other | 10 | 11% |
| Unknown | 22 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 34 | 37% |
| Medicine and Dentistry | 12 | 13% |
| Agricultural and Biological Sciences | 12 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Chemistry | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 24 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 25 October 2023.
All research outputs
#1,694,570
of 25,385,509 outputs
Outputs from Genetics in Medicine
#569
of 2,945 outputs
Outputs of similar age
#39,720
of 446,570 outputs
Outputs of similar age from Genetics in Medicine
#20
of 69 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done well, scoring higher than 80% 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 446,570 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 91% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.