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X Demographics
Mendeley readers
Attention Score in Context
Title |
Identification of the Potential Key Long Non-coding RNAs in Aged Mice With Postoperative Cognitive Dysfunction
|
---|---|
Published in |
Frontiers in Aging Neuroscience, July 2019
|
DOI | 10.3389/fnagi.2019.00181 |
Pubmed ID | |
Authors |
Ming Li, Chan Chen, Weiyi Zhang, Rui Gao, Qiao Wang, Hai Chen, Shu Zhang, Xiaobo Mao, Mathis Leblanc, Adam Behensky, Zheng Zhang, Lu Gan, Hai Yu, Tao Zhu, Jin Liu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 19% |
Student > Bachelor | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Librarian | 1 | 6% |
Researcher | 1 | 6% |
Other | 1 | 6% |
Unknown | 6 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 31% |
Neuroscience | 3 | 19% |
Medicine and Dentistry | 2 | 13% |
Agricultural and Biological Sciences | 1 | 6% |
Engineering | 1 | 6% |
Other | 0 | 0% |
Unknown | 4 | 25% |
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 06 January 2020.
All research outputs
#15,578,089
of 23,153,849 outputs
Outputs from Frontiers in Aging Neuroscience
#3,667
of 4,888 outputs
Outputs of similar age
#194,957
of 315,813 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#89
of 104 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,888 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 20th percentile – i.e., 20% 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 315,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.