| Title |
Deep undepleted human serum proteome profiling toward biomarker discovery for Alzheimer’s disease
|
|---|---|
| Published in |
Clinical Proteomics, April 2019
|
| DOI | 10.1186/s12014-019-9237-1 |
| Pubmed ID | |
| Authors |
Kaushik Kumar Dey, Hong Wang, Mingming Niu, Bing Bai, Xusheng Wang, Yuxin Li, Ji-Hoon Cho, Haiyan Tan, Ashutosh Mishra, Anthony A. High, Ping-Chung Chen, Zhiping Wu, Thomas G. Beach, Junmin Peng |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| United Kingdom | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 123 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 20% |
| Researcher | 20 | 16% |
| Student > Master | 14 | 11% |
| Student > Bachelor | 9 | 7% |
| Other | 8 | 7% |
| Other | 10 | 8% |
| Unknown | 37 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 42 | 34% |
| Medicine and Dentistry | 11 | 9% |
| Agricultural and Biological Sciences | 9 | 7% |
| Neuroscience | 5 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
| Other | 11 | 9% |
| Unknown | 42 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 16 March 2022.
All research outputs
#2,447,679
of 23,347,114 outputs
Outputs from Clinical Proteomics
#21
of 289 outputs
Outputs of similar age
#55,457
of 350,860 outputs
Outputs of similar age from Clinical Proteomics
#2
of 10 outputs
Altmetric has tracked 23,347,114 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 289 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 93% 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 350,860 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.