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Rapid single-molecule digital detection of protein biomarkers for continuous monitoring of systemic immune disorders

Overview of attention for article published in Blood, March 2021
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
11 Mendeley
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

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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Professor 2 18%
Student > Doctoral Student 1 9%
Student > Bachelor 1 9%
Student > Master 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Biochemistry, Genetics and Molecular Biology 2 18%
Chemical Engineering 1 9%
Social Sciences 1 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Other 1 9%
Unknown 2 18%

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
#16,764,534
of 18,954,860 outputs
Outputs from Blood
#26,650
of 28,222 outputs
Outputs of similar age
#374,143
of 446,522 outputs
Outputs of similar age from Blood
#243
of 320 outputs
Altmetric has tracked 18,954,860 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 28,222 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. 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 446,522 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.