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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Human-Monkey Chimeras for Modeling Human Disease: Opportunities and Challenges
|
|---|---|
| Chapter number | 15 |
| Book title |
Chimera Research
|
| Published in |
Methods in molecular biology, June 2019
|
| DOI | 10.1007/978-1-4939-9524-0_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-9523-3, 978-1-4939-9524-0
|
| Authors |
Alejandro De Los Angeles, Insoo Hyun, Stephen R. Latham, John D. Elsworth, D. Eugene Redmond, De Los Angeles, Alejandro, Hyun, Insoo, Latham, Stephen R., Elsworth, John D., Redmond, D. Eugene |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 20% |
| Unspecified | 2 | 10% |
| Professor | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Student > Master | 2 | 10% |
| Other | 1 | 5% |
| Unknown | 7 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 20% |
| Arts and Humanities | 2 | 10% |
| Unspecified | 2 | 10% |
| Philosophy | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 8 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 58. 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 05 January 2024.
All research outputs
#725,600
of 25,144,989 outputs
Outputs from Methods in molecular biology
#48
of 14,124 outputs
Outputs of similar age
#16,015
of 359,888 outputs
Outputs of similar age from Methods in molecular biology
#2
of 58 outputs
Altmetric has tracked 25,144,989 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,124 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 99% 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 359,888 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 58 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 98% of its contemporaries.