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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting Bacteriophage Enzymes and Hydrolases by Using Combined Features
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, March 2020
|
| DOI | 10.3389/fbioe.2020.00183 |
| Pubmed ID | |
| Authors |
Hong-Fei Li, Xian-Fang Wang, Hua Tang |
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 % |
|---|---|---|
| France | 2 | 22% |
| Belgium | 1 | 11% |
| United Kingdom | 1 | 11% |
| Mexico | 1 | 11% |
| Switzerland | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 19% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Student > Master | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Computer Science | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 10 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 May 2020.
All research outputs
#6,927,890
of 23,199,478 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,068
of 6,883 outputs
Outputs of similar age
#132,147
of 367,907 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#103
of 367 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 6,883 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 84% 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 367,907 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 63% of its contemporaries.
We're also able to compare this research output to 367 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 71% of its contemporaries.