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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Computational and Experimental Approaches to Predict Host–Parasite Protein–Protein Interactions
|
|---|---|
| Chapter number | 7 |
| Book title |
Computational Cell Biology
|
| Published in |
Methods in molecular biology, November 2018
|
| DOI | 10.1007/978-1-4939-8618-7_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8617-0, 978-1-4939-8618-7
|
| Authors |
Yesid Cuesta-Astroz, Guilherme Oliveira, Cuesta-Astroz, Yesid, Oliveira, Guilherme |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 3 | 33% |
| Argentina | 2 | 22% |
| Spain | 2 | 22% |
| Italy | 1 | 11% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 29% |
| Student > Bachelor | 2 | 12% |
| Student > Postgraduate | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Computer Science | 3 | 18% |
| Veterinary Science and Veterinary Medicine | 2 | 12% |
| Agricultural and Biological Sciences | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 14 November 2018.
All research outputs
#6,353,628
of 25,260,058 outputs
Outputs from Methods in molecular biology
#1,727
of 14,168 outputs
Outputs of similar age
#103,105
of 350,601 outputs
Outputs of similar age from Methods in molecular biology
#3
of 23 outputs
Altmetric has tracked 25,260,058 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 14,168 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 87% 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 350,601 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 23 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 91% of its contemporaries.