| Title |
iPSC model of CHRFAM7A effect on α7 nicotinic acetylcholine receptor function in the human context
|
|---|---|
| Published in |
Translational Psychiatry, February 2019
|
| DOI | 10.1038/s41398-019-0375-z |
| Pubmed ID | |
| Authors |
Ivanna Ihnatovych, Tapan K. Nayak, Aya Ouf, Norbert Sule, Barbara Birkaya, Lee Chaves, Anthony Auerbach, Kinga Szigeti |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 25% |
| Student > Ph. D. Student | 5 | 18% |
| Student > Master | 3 | 11% |
| Professor | 2 | 7% |
| Student > Bachelor | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 14% |
| Neuroscience | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 11% |
| Engineering | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 8 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 79. 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 16 October 2020.
All research outputs
#463,706
of 23,125,690 outputs
Outputs from Translational Psychiatry
#217
of 3,276 outputs
Outputs of similar age
#11,771
of 438,256 outputs
Outputs of similar age from Translational Psychiatry
#8
of 114 outputs
Altmetric has tracked 23,125,690 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,276 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.7. This one has done particularly well, scoring higher than 93% 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 438,256 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 97% of its contemporaries.
We're also able to compare this research output to 114 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 92% of its contemporaries.