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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring the pathogenetic association between schizophrenia and type 2 diabetes mellitus diseases based on pathway analysis
|
|---|---|
| Published in |
BMC Medical Genomics, January 2013
|
| DOI | 10.1186/1755-8794-6-s1-s17 |
| Pubmed ID | |
| Authors |
Yanli Liu, Zezhi Li, Meixia Zhang, Youping Deng, Zhenghui Yi, Tieliu Shi |
| Abstract |
Schizophrenia (SCZ) and type 2 diabetes mellitus (T2D) are both complex diseases. Accumulated studies indicate that schizophrenia patients are prone to present the type 2 diabetes symptoms, but the potential mechanisms behind their association remain unknown. Here we explored the pathogenetic association between SCZ and T2D based on pathway analysis and protein-protein interaction. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Netherlands | 2 | 2% |
| Hungary | 1 | <1% |
| South Africa | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 121 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 16% |
| Researcher | 20 | 16% |
| Student > Master | 17 | 13% |
| Student > Bachelor | 16 | 13% |
| Student > Postgraduate | 9 | 7% |
| Other | 22 | 17% |
| Unknown | 24 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 23% |
| Agricultural and Biological Sciences | 18 | 14% |
| Biochemistry, Genetics and Molecular Biology | 12 | 9% |
| Neuroscience | 9 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
| Other | 17 | 13% |
| Unknown | 37 | 29% |
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 30 May 2015.
All research outputs
#14,777,452
of 25,654,806 outputs
Outputs from BMC Medical Genomics
#897
of 2,455 outputs
Outputs of similar age
#165,730
of 289,674 outputs
Outputs of similar age from BMC Medical Genomics
#11
of 34 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,455 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 62% 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 289,674 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 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.