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X Demographics
Mendeley readers
Attention Score in Context
| Title |
LDexpress: an online tool for integrating population-specific linkage disequilibrium patterns with tissue-specific expression data
|
|---|---|
| Published in |
BMC Bioinformatics, December 2021
|
| DOI | 10.1186/s12859-021-04531-8 |
| Pubmed ID | |
| Authors |
Shu-Hong Lin, Rohit Thakur, Mitchell J. Machiela |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| United Kingdom | 1 | 13% |
| Sweden | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 33% |
| Student > Doctoral Student | 3 | 25% |
| Student > Ph. D. Student | 2 | 17% |
| Student > Master | 1 | 8% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 42% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Computer Science | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 25 March 2022.
All research outputs
#5,761,694
of 23,414,653 outputs
Outputs from BMC Bioinformatics
#2,065
of 7,383 outputs
Outputs of similar age
#125,277
of 507,164 outputs
Outputs of similar age from BMC Bioinformatics
#58
of 150 outputs
Altmetric has tracked 23,414,653 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,383 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 71% 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 507,164 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 75% of its contemporaries.
We're also able to compare this research output to 150 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 61% of its contemporaries.