| Title |
Comparison of brain connectomes by MRI and genomics and its implication in Alzheimer’s disease
|
|---|---|
| Published in |
BMC Medicine, February 2020
|
| DOI | 10.1186/s12916-019-1488-1 |
| Pubmed ID | |
| Authors |
Young Jae Woo, Panos Roussos, Vahram Haroutunian, Pavel Katsel, Samuel Gandy, Eric E. Schadt, Jun Zhu |
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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 15% |
| Researcher | 6 | 13% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Master | 5 | 11% |
| Student > Postgraduate | 4 | 9% |
| Other | 6 | 13% |
| Unknown | 14 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 26% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Nursing and Health Professions | 3 | 6% |
| Medicine and Dentistry | 3 | 6% |
| Computer Science | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 15 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 October 2020.
All research outputs
#2,833,673
of 23,191,112 outputs
Outputs from BMC Medicine
#1,693
of 3,488 outputs
Outputs of similar age
#68,928
of 449,690 outputs
Outputs of similar age from BMC Medicine
#33
of 58 outputs
Altmetric has tracked 23,191,112 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,488 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has gotten more attention than average, scoring higher than 51% 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 449,690 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 84% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.