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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-wide variant-based study of genetic effects with the largest neuroanatomic coverage
|
|---|---|
| Published in |
BMC Bioinformatics, April 2021
|
| DOI | 10.1186/s12859-021-04145-0 |
| Pubmed ID | |
| Authors |
Jin Li, Wenjie Liu, Huang Li, Feng Chen, Haoran Luo, Peihua Bao, Yanzhao Li, Hailong Jiang, Yue Gao, Hong Liang, Shiaofen Fang |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 11% |
| United Kingdom | 1 | 11% |
| Sweden | 1 | 11% |
| Israel | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 13% |
| Lecturer | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Professor | 1 | 13% |
| Student > Master | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 3 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Nursing and Health Professions | 1 | 13% |
| Computer Science | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Engineering | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 3 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 May 2021.
All research outputs
#6,041,051
of 23,308,124 outputs
Outputs from BMC Bioinformatics
#2,211
of 7,380 outputs
Outputs of similar age
#129,341
of 437,141 outputs
Outputs of similar age from BMC Bioinformatics
#62
of 194 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,380 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 69% 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 437,141 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 194 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 67% of its contemporaries.