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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The Mitotic Spindle
|
|---|---|
| Chapter number | 24 |
| Book title |
The Mitotic Spindle
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3542-0_24 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3540-6, 978-1-4939-3542-0
|
| Authors |
Shenk, Elizabeth M, Ganem, Neil J, Elizabeth M. Shenk, Neil J. Ganem |
| Editors |
Paul Chang, Ryoma Ohi |
| Abstract |
Tetraploid cells are genetically unstable and have the capacity to promote the development and/or progression of human malignancies. It is now estimated that ~40 % of all solid tumors have passed through a tetraploid intermediate stage at some point during their development. Understanding the biological characteristics of tetraploid cells that impart oncogenic properties is therefore a highly relevant and fundamentally important aspect of cancer biology. Here, we describe strategies to efficiently generate and purify tetraploid cells for use in cell biological studies. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 27% |
| Student > Master | 4 | 27% |
| Professor | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 53% |
| Medicine and Dentistry | 2 | 13% |
| Immunology and Microbiology | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Unknown | 3 | 20% |
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 08 December 2017.
All research outputs
#17,805,172
of 22,873,031 outputs
Outputs from Methods in molecular biology
#7,239
of 13,130 outputs
Outputs of similar age
#267,770
of 393,675 outputs
Outputs of similar age from Methods in molecular biology
#752
of 1,471 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,130 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 393,675 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.