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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lag penalized weighted correlation for time series clustering
|
|---|---|
| Published in |
BMC Bioinformatics, August 2020
|
| DOI | 10.1186/s12859-019-3324-1 |
| Pubmed ID | |
| Authors |
Thevaa Chandereng, Anthony Gitter |
X Demographics
The data shown below were collected from the profiles of 13 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 States | 3 | 23% |
| Germany | 1 | 8% |
| Austria | 1 | 8% |
| France | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 62% |
| Members of the public | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 21% |
| Professor > Associate Professor | 7 | 13% |
| Researcher | 7 | 13% |
| Student > Bachelor | 6 | 11% |
| Student > Doctoral Student | 4 | 7% |
| Other | 12 | 21% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 25% |
| Agricultural and Biological Sciences | 10 | 18% |
| Computer Science | 6 | 11% |
| Psychology | 4 | 7% |
| Engineering | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 11 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 16 March 2023.
All research outputs
#2,566,322
of 25,391,066 outputs
Outputs from BMC Bioinformatics
#664
of 7,685 outputs
Outputs of similar age
#64,497
of 406,384 outputs
Outputs of similar age from BMC Bioinformatics
#17
of 139 outputs
Altmetric has tracked 25,391,066 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,685 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 done particularly well, scoring higher than 91% 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 406,384 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.