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 |
Efficient unfolding pattern recognition in single molecule force spectroscopy data
|
|---|---|
| Published in |
Algorithms for Molecular Biology, June 2011
|
| DOI | 10.1186/1748-7188-6-16 |
| Pubmed ID | |
| Authors |
Bill Andreopoulos, Dirk Labudde |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 6% |
| United Kingdom | 1 | 3% |
| Germany | 1 | 3% |
| Switzerland | 1 | 3% |
| Unknown | 31 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 28% |
| Student > Ph. D. Student | 7 | 19% |
| Professor | 3 | 8% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 10 | 28% |
| Chemistry | 7 | 19% |
| Agricultural and Biological Sciences | 6 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Computer Science | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 7 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 September 2020.
All research outputs
#18,745,728
of 23,237,082 outputs
Outputs from Algorithms for Molecular Biology
#198
of 264 outputs
Outputs of similar age
#95,948
of 112,884 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 4 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 12th percentile – i.e., 12% 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 112,884 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them