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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring by whole exome sequencing patients with initial diagnosis of Rubinstein–Taybi syndrome: the interconnections of epigenetic machinery disorders
|
|---|---|
| Published in |
Human Genetics, February 2019
|
| DOI | 10.1007/s00439-019-01985-y |
| Pubmed ID | |
| Authors |
Gloria Negri, Pamela Magini, Donatella Milani, Milena Crippa, Elisa Biamino, Maria Piccione, Stefano Sotgiu, Chiara Perrìa, Giuseppina Vitiello, Marina Frontali, Antonella Boni, Elisabetta Di Fede, Maria Chiara Gandini, Elisa Adele Colombo, Michael J. Bamshad, Deborah A. Nickerson, Joshua D. Smith, Italia Loddo, Palma Finelli, Marco Seri, Tommaso Pippucci, Lidia Larizza, Cristina Gervasini |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 22% |
| Researcher | 4 | 11% |
| Other | 3 | 8% |
| Student > Bachelor | 1 | 3% |
| Professor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 16 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 22% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Nursing and Health Professions | 2 | 6% |
| Neuroscience | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 17 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 March 2019.
All research outputs
#18,670,143
of 23,132,033 outputs
Outputs from Human Genetics
#2,711
of 2,968 outputs
Outputs of similar age
#267,717
of 353,190 outputs
Outputs of similar age from Human Genetics
#23
of 29 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,968 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 4th percentile – i.e., 4% 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 353,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% 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 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.