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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Deriving Immune-Modulating Peptides from Viral Serine Protease Inhibitors (Serpins)
|
|---|---|
| Chapter number | 7 |
| Book title |
Viruses as Therapeutics
|
| Published in |
Methods in molecular biology, October 2020
|
| DOI | 10.1007/978-1-0716-1012-1_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-161011-4, 978-1-07-161012-1
|
| Authors |
Jordan R. Yaron, Liqiang Zhang, Michelle Burgin, Lauren N. Schutz, Enkidia A. Awo, Shahar Keinan, Grant McFadden, Sriram Ambadapadi, Qiuyun Guo, Hao Chen, Alexandra R. Lucas, Yaron, Jordan R., Zhang, Liqiang, Burgin, Michelle, Schutz, Lauren N., Awo, Enkidia A., Keinan, Shahar, McFadden, Grant, Ambadapadi, Sriram, Guo, Qiuyun, Chen, Hao, Lucas, Alexandra R. |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
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% |
| Unknown | 3 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 1 | 20% |
| Medicine and Dentistry | 1 | 20% |
| Unknown | 3 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 29 October 2020.
All research outputs
#14,513,547
of 23,253,955 outputs
Outputs from Methods in molecular biology
#4,279
of 13,319 outputs
Outputs of similar age
#229,343
of 420,386 outputs
Outputs of similar age from Methods in molecular biology
#53
of 205 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,319 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% 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 420,386 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.