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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differential gene regulatory pattern in the human brain from schizophrenia using transcriptomic-causal network
|
|---|---|
| Published in |
BMC Bioinformatics, October 2020
|
| DOI | 10.1186/s12859-020-03753-6 |
| Pubmed ID | |
| Authors |
Akram Yazdani, Raul Mendez-Giraldez, Azam Yazdani, Michael R. Kosorok, Panos Roussos |
X Demographics
The data shown below were collected from the profiles of 5 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 | 20% |
| Sweden | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 16% |
| Researcher | 4 | 13% |
| Student > Doctoral Student | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Other | 3 | 10% |
| Other | 5 | 16% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Medicine and Dentistry | 3 | 10% |
| Neuroscience | 3 | 10% |
| Engineering | 2 | 6% |
| Computer Science | 2 | 6% |
| Other | 7 | 23% |
| Unknown | 8 | 26% |
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 24 October 2020.
All research outputs
#14,431,072
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#4,561
of 7,400 outputs
Outputs of similar age
#223,220
of 421,132 outputs
Outputs of similar age from BMC Bioinformatics
#102
of 176 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 35th percentile – i.e., 35% 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 421,132 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.