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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Model for Studying the Effects of Chronic Metabolic Disease on Endogenous Bone Marrow Stem Cell Populations
|
|---|---|
| Chapter number | 6 |
| Book title |
Clinical and Preclinical Models for Maximizing Healthspan
|
| Published in |
Methods in molecular biology, March 2020
|
| DOI | 10.1007/978-1-0716-0471-7_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-160470-0, 978-1-07-160471-7
|
| Authors |
Yashar Mehrbani Azar, Maria Jacoba Kruger, Dalene de Swardt, Michelle Maartens, Ascentia Mathapelo Seboko, William Frank Ferris, Mari van de Vyver, Mehrbani Azar, Yashar, Kruger, Maria Jacoba, de Swardt, Dalene, Maartens, Michelle, Seboko, Ascentia Mathapelo, Ferris, William Frank, van de Vyver, Mari |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 50% |
| Researcher | 2 | 20% |
| Student > Ph. D. Student | 1 | 10% |
| Librarian | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 50% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 20% |
| Economics, Econometrics and Finance | 1 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Unknown | 1 | 10% |
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 31 March 2020.
All research outputs
#18,717,206
of 23,199,478 outputs
Outputs from Methods in molecular biology
#8,049
of 13,301 outputs
Outputs of similar age
#276,022
of 368,324 outputs
Outputs of similar age from Methods in molecular biology
#22
of 39 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,301 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 368,324 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.