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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Altered Effective Connectivity Network of the Basal Ganglia in Low-Grade Hepatic Encephalopathy: A Resting-State fMRI Study with Granger Causality Analysis
|
|---|---|
| Published in |
PLOS ONE, January 2013
|
| DOI | 10.1371/journal.pone.0053677 |
| Pubmed ID | |
| Authors |
Rongfeng Qi, Long Jiang Zhang, Jianhui Zhong, Zhiqiang Zhang, Ling Ni, Qing Jiao, Wei Liao, Gang Zheng, Guangming Lu |
| Abstract |
The basal ganglia often show abnormal metabolism and intracranial hemodynamics in cirrhotic patients with hepatic encephalopathy (HE). Little is known about how the basal ganglia affect other brain system and is affected by other brain regions in HE. The purpose of this study was to investigate whether the effective connectivity network associated with the basal ganglia is disturbed in HE patients by using resting-state functional magnetic resonance imaging (rs-fMRI). |
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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Switzerland | 1 | 2% |
| Austria | 1 | 2% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 39 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 25% |
| Researcher | 9 | 20% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Bachelor | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 9 | 20% |
| Medicine and Dentistry | 9 | 20% |
| Neuroscience | 9 | 20% |
| Agricultural and Biological Sciences | 4 | 9% |
| Computer Science | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 7 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 January 2013.
All research outputs
#14,741,936
of 22,691,736 outputs
Outputs from PLOS ONE
#123,067
of 193,720 outputs
Outputs of similar age
#176,348
of 282,285 outputs
Outputs of similar age from PLOS ONE
#2,885
of 4,925 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,720 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 33rd percentile – i.e., 33% 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 282,285 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,925 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.