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X Demographics
Mendeley readers
Attention Score in Context
Title |
Label-Free and High-Throughput Removal of Residual Undifferentiated Cells From iPSC-Derived Spinal Cord Progenitor Cells
|
---|---|
Published in |
Stem Cells Translational Medicine, February 2024
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DOI | 10.1093/stcltm/szae002 |
Pubmed ID | |
Authors |
Tan Dai Nguyen, Wai Hon Chooi, Hyungkook Jeon, Jiahui Chen, Jerome Tan, Daniel N Roxby, Cheryl Yi-Pin Lee, Shi-Yan Ng, Sing Yian Chew, Jongyoon Han |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Singapore | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
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 % |
---|---|---|
Researcher | 2 | 40% |
Student > Ph. D. Student | 1 | 20% |
Professor | 1 | 20% |
Other | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 60% |
Biochemistry, Genetics and Molecular Biology | 1 | 20% |
Agricultural and Biological Sciences | 1 | 20% |
Business, Management and Accounting | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 159. 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 20 April 2024.
All research outputs
#261,008
of 25,692,343 outputs
Outputs from Stem Cells Translational Medicine
#38
of 1,608 outputs
Outputs of similar age
#3,481
of 338,589 outputs
Outputs of similar age from Stem Cells Translational Medicine
#1
of 15 outputs
Altmetric has tracked 25,692,343 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,608 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one has done particularly well, scoring higher than 97% 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 338,589 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.