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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying novel proteins underlying schizophrenia via integrating pQTLs of the plasma, CSF, and brain with GWAS summary data
|
|---|---|
| Published in |
BMC Medicine, December 2022
|
| DOI | 10.1186/s12916-022-02679-5 |
| Pubmed ID | |
| Authors |
Xiaojing Gu, Meng Dou, Weiming Su, Zheng Jiang, Qingqing Duan, Bei Cao, Yongping Chen |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Germany | 1 | 25% |
| Tanzania, United Republic of | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 50% |
| Members of the public | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 27% |
| Student > Master | 2 | 18% |
| Professor > Associate Professor | 1 | 9% |
| Other | 1 | 9% |
| Unspecified | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Nursing and Health Professions | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Immunology and Microbiology | 1 | 9% |
| Other | 3 | 27% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 December 2022.
All research outputs
#13,922,659
of 24,044,816 outputs
Outputs from BMC Medicine
#2,933
of 3,664 outputs
Outputs of similar age
#175,306
of 450,405 outputs
Outputs of similar age from BMC Medicine
#101
of 146 outputs
Altmetric has tracked 24,044,816 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,664 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.8. This one is in the 19th percentile – i.e., 19% 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 450,405 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 60% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.