| Title |
Rapid single-molecule digital detection of protein biomarkers for continuous monitoring of systemic immune disorders
|
|---|---|
| Published in |
Blood, March 2021
|
| DOI | 10.1182/blood.2019004399 |
| Pubmed ID | |
| Authors |
Yujing Song, Erin Sandford, Yuzi Tian, Qingtian Yin, Andrew G. Kozminski, Shiuan-Haur Su, Tao Cai, Yuxuan Ye, Meng Ting Chung, Ryan Lindstrom, Annika Goicochea, Jenny Barabas, Mary Olesnavich, Michelle Rozwadowski, Yongqing Li, Hasan B. Alam, Benjamin H. Singer, Monalisa Ghosh, Sung Won Choi, Muneesh Tewari, Katsuo Kurabayashi |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 30% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Researcher | 3 | 8% |
| Professor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 23% |
| Medicine and Dentistry | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Unspecified | 2 | 5% |
| Chemical Engineering | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 13 | 33% |
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 29 March 2021.
All research outputs
#20,672,155
of 23,267,128 outputs
Outputs from Blood
#30,066
of 31,689 outputs
Outputs of similar age
#365,538
of 429,254 outputs
Outputs of similar age from Blood
#223
of 320 outputs
Altmetric has tracked 23,267,128 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 31,689 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. 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 429,254 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 320 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.