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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Short paired-end reads trump long single-end reads for expression analysis
|
|---|---|
| Published in |
BMC Bioinformatics, April 2020
|
| DOI | 10.1186/s12859-020-3484-z |
| Pubmed ID | |
| Authors |
Adam H. Freedman, John M. Gaspar, Timothy B. Sackton |
X Demographics
The data shown below were collected from the profiles of 21 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 | 6 | 29% |
| United Kingdom | 5 | 24% |
| Finland | 1 | 5% |
| France | 1 | 5% |
| India | 1 | 5% |
| Netherlands | 1 | 5% |
| Unknown | 6 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 62% |
| Members of the public | 8 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 21 | 20% |
| Researcher | 14 | 14% |
| Student > Master | 12 | 12% |
| Student > Ph. D. Student | 10 | 10% |
| Student > Bachelor | 8 | 8% |
| Other | 7 | 7% |
| Unknown | 31 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 21% |
| Computer Science | 22 | 21% |
| Agricultural and Biological Sciences | 13 | 13% |
| Medicine and Dentistry | 3 | 3% |
| Social Sciences | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 32 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 26 August 2022.
All research outputs
#2,012,132
of 24,334,327 outputs
Outputs from BMC Bioinformatics
#473
of 7,516 outputs
Outputs of similar age
#50,351
of 378,030 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 122 outputs
Altmetric has tracked 24,334,327 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,516 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 93% 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 378,030 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 86% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.