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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Frequent contiguous pattern mining over biological sequences of protein misfolded diseases
|
|---|---|
| Published in |
BMC Bioinformatics, September 2021
|
| DOI | 10.1186/s12859-021-04341-y |
| Pubmed ID | |
| Authors |
Mohammad Shahedul Islam, Md. Abul Kashem Mia, Mohammad Shamsur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Takeshi Koshiba |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 14% |
| Israel | 1 | 14% |
| Sweden | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 17% |
| Lecturer | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 1 | 17% |
| Computer Science | 1 | 17% |
| Sports and Recreations | 1 | 17% |
| Unknown | 3 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 September 2021.
All research outputs
#7,227,951
of 23,573,357 outputs
Outputs from BMC Bioinformatics
#2,740
of 7,418 outputs
Outputs of similar age
#144,006
of 431,101 outputs
Outputs of similar age from BMC Bioinformatics
#60
of 144 outputs
Altmetric has tracked 23,573,357 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 61% 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 431,101 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 66% of its contemporaries.
We're also able to compare this research output to 144 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 56% of its contemporaries.