Proteomics Data Analysis
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Deep for Protein–Protein Interaction Site Prediction
|
|---|---|
| Book title |
Proteomics Data Analysis
|
| Published in |
Methods in molecular biology, July 2021
|
| DOI | 10.1007/978-1-0716-1641-3_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-161640-6, 978-1-07-161641-3
|
| Authors |
Arian R. Jamasb, Ben Day, Cătălina Cangea, Pietro Liò, Tom L. Blundell, Jamasb, Arian R., Day, Ben, Cangea, Cătălina, Liò, Pietro, Blundell, Tom L. |
X Demographics
The data shown below were collected from the profiles of 15 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 | 2 | 13% |
| Nigeria | 1 | 7% |
| France | 1 | 7% |
| Egypt | 1 | 7% |
| United States | 1 | 7% |
| Sweden | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 4 | 27% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 4 | 20% |
| Student > Bachelor | 3 | 15% |
| Researcher | 3 | 15% |
| Professor | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 6 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 35% |
| Computer Science | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unspecified | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 May 2022.
All research outputs
#3,930,476
of 24,466,750 outputs
Outputs from Methods in molecular biology
#934
of 13,796 outputs
Outputs of similar age
#85,329
of 429,397 outputs
Outputs of similar age from Methods in molecular biology
#14
of 338 outputs
Altmetric has tracked 24,466,750 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,796 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 93% 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 429,397 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 338 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 96% of its contemporaries.