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Mendeley readers
Attention Score in Context
Chapter title |
Detection of Apoptosis by TUNEL Assay
|
---|---|
Chapter number | 5 |
Book title |
Odontogenesis
|
Published in |
Methods in molecular biology, January 2012
|
DOI | 10.1007/978-1-61779-860-3_5 |
Pubmed ID | |
Book ISBNs |
978-1-61779-859-7, 978-1-61779-860-3
|
Authors |
Kateryna Kyrylkova, Sergiy Kyryachenko, Mark Leid, Chrissa Kioussi, Kyrylkova, Kateryna, Kyryachenko, Sergiy, Leid, Mark, Kioussi, Chrissa |
Abstract |
Terminal deoxynucleotidyl transferase (TdT) dUTP Nick-End Labeling (TUNEL) assay has been designed to detect apoptotic cells that undergo extensive DNA degradation during the late stages of apoptosis. The method is based on the ability of TdT to label blunt ends of double-stranded DNA breaks independent of a template. This chapter describes an assay for detection of apoptotic cells during mouse odontogenesis using a colorimetric TUNEL system. |
Mendeley readers
The data shown below were compiled from readership statistics for 666 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
Indonesia | 1 | <1% |
Malaysia | 1 | <1% |
Spain | 1 | <1% |
India | 1 | <1% |
Unknown | 660 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 151 | 23% |
Student > Master | 100 | 15% |
Student > Ph. D. Student | 92 | 14% |
Student > Doctoral Student | 34 | 5% |
Researcher | 33 | 5% |
Other | 70 | 11% |
Unknown | 186 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 171 | 26% |
Agricultural and Biological Sciences | 89 | 13% |
Medicine and Dentistry | 83 | 12% |
Neuroscience | 24 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 22 | 3% |
Other | 76 | 11% |
Unknown | 201 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 07 February 2020.
All research outputs
#1,411,441
of 22,772,779 outputs
Outputs from Methods in molecular biology
#178
of 13,090 outputs
Outputs of similar age
#10,244
of 244,334 outputs
Outputs of similar age from Methods in molecular biology
#13
of 473 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 98% 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 244,334 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 95% of its contemporaries.
We're also able to compare this research output to 473 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 97% of its contemporaries.