| Title |
Expanding the phenotype of the X-linked BCOR microphthalmia syndromes
|
|---|---|
| Published in |
Human Genetics, July 2018
|
| DOI | 10.1007/s00439-018-1896-x |
| Pubmed ID | |
| Authors |
Nicola Ragge, Bertrand Isidor, Pierre Bitoun, Sylvie Odent, Irina Giurgea, Benjamin Cogné, Wallid Deb, Marie Vincent, Jessica Le Gall, Jenny Morton, Derek Lim, DDD Study, Guylène Le Meur, Celia Zazo Seco, Dimitra Zafeiropoulou, Dorine Bax, Petra Zwijnenburg, Anara Arteche, Saoud Tahsin Swafiri, Ruth Cleaver, Meriel McEntagart, Usha Kini, William Newman, Carmen Ayuso, Marta Corton, Yvan Herenger, Médéric Jeanne, Patrick Calvas, Nicolas Chassaing |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 10% |
| Researcher | 6 | 10% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 14 | 22% |
| Unknown | 22 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 22% |
| Biochemistry, Genetics and Molecular Biology | 8 | 13% |
| Unspecified | 4 | 6% |
| Nursing and Health Professions | 4 | 6% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 25 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 September 2019.
All research outputs
#14,422,246
of 23,098,660 outputs
Outputs from Human Genetics
#2,449
of 2,963 outputs
Outputs of similar age
#186,245
of 328,020 outputs
Outputs of similar age from Human Genetics
#15
of 29 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,963 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 328,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.