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High Uric Acid Level Predicts Early Neurological Deterioration in Intracerebral Hemorrhage

Overview of attention for article published in Neuropsychiatric Disease and Treatment, August 2021
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
Title
High Uric Acid Level Predicts Early Neurological Deterioration in Intracerebral Hemorrhage
Published in
Neuropsychiatric Disease and Treatment, August 2021
DOI 10.2147/ndt.s321778
Pubmed ID
Authors

Xiuqun Gong, Zeyu Lu, Xiwu Feng, Kang Yuan, Mei Zhang, Xiaosi Cheng, Min Xue, Liang Yu, Jun Lu, Chuanqing Yu

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 60%
Student > Bachelor 1 20%
Student > Postgraduate 1 20%
Readers by discipline Count As %
Unspecified 3 60%
Medicine and Dentistry 1 20%
Unknown 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 August 2022.
All research outputs
#19,982,871
of 22,457,522 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,398
of 2,955 outputs
Outputs of similar age
#284,961
of 344,082 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#5
of 5 outputs
Altmetric has tracked 22,457,522 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,955 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 1st percentile – i.e., 1% 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 344,082 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.