You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
ProPIP: a tool for progressive multiple sequence alignment with Poisson Indel Process
|
|---|---|
| Published in |
BMC Bioinformatics, October 2021
|
| DOI | 10.1186/s12859-021-04442-8 |
| Pubmed ID | |
| Authors |
Massimo Maiolo, Lorenzo Gatti, Diego Frei, Tiziano Leidi, Manuel Gil, Maria Anisimova |
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 % |
|---|---|---|
| United Kingdom | 2 | 29% |
| Germany | 1 | 14% |
| India | 1 | 14% |
| Sweden | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 71% |
| Members of the public | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 27% |
| Student > Bachelor | 2 | 13% |
| Student > Doctoral Student | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Professor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 6 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 40% |
| Computer Science | 2 | 13% |
| Unknown | 7 | 47% |
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 17 June 2022.
All research outputs
#7,932,048
of 23,879,989 outputs
Outputs from BMC Bioinformatics
#3,106
of 7,483 outputs
Outputs of similar age
#156,395
of 428,417 outputs
Outputs of similar age from BMC Bioinformatics
#80
of 165 outputs
Altmetric has tracked 23,879,989 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,483 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% 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 428,417 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 60% of its contemporaries.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.