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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comprehensive evaluation of long read error correction methods
|
|---|---|
| Published in |
BMC Genomics, December 2020
|
| DOI | 10.1186/s12864-020-07227-0 |
| Pubmed ID | |
| Authors |
Haowen Zhang, Chirag Jain, Srinivas Aluru |
X Demographics
The data shown below were collected from the profiles of 5 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 | 40% |
| Netherlands | 1 | 20% |
| Canada | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 225 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 18% |
| Student > Ph. D. Student | 37 | 16% |
| Student > Master | 25 | 11% |
| Student > Bachelor | 20 | 9% |
| Student > Doctoral Student | 13 | 6% |
| Other | 23 | 10% |
| Unknown | 66 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 67 | 30% |
| Agricultural and Biological Sciences | 39 | 17% |
| Computer Science | 18 | 8% |
| Medicine and Dentistry | 6 | 3% |
| Engineering | 3 | 1% |
| Other | 21 | 9% |
| Unknown | 71 | 32% |
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 December 2020.
All research outputs
#14,429,961
of 23,577,761 outputs
Outputs from BMC Genomics
#5,486
of 10,800 outputs
Outputs of similar age
#262,577
of 505,647 outputs
Outputs of similar age from BMC Genomics
#79
of 185 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,800 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 505,647 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 185 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 55% of its contemporaries.