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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Read Mapping and Transcript Assembly: A Scalable and High-Throughput Workflow for the Processing and Analysis of Ribonucleic Acid Sequencing Data
|
|---|---|
| Published in |
Frontiers in Genetics, January 2020
|
| DOI | 10.3389/fgene.2019.01361 |
| Pubmed ID | |
| Authors |
Sateesh Peri, Sarah Roberts, Isabella R. Kreko, Lauren B. McHan, Alexandra Naron, Archana Ram, Rebecca L. Murphy, Eric Lyons, Brian D. Gregory, Upendra K. Devisetty, Andrew D. L. Nelson |
X Demographics
The data shown below were collected from the profiles of 11 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 | 5 | 45% |
| United Kingdom | 1 | 9% |
| Switzerland | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 64% |
| Members of the public | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 20% |
| Student > Master | 4 | 11% |
| Professor | 4 | 11% |
| Researcher | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 8 | 23% |
| Unknown | 7 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 34% |
| Agricultural and Biological Sciences | 11 | 31% |
| Immunology and Microbiology | 2 | 6% |
| Mathematics | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 7 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 03 March 2020.
All research outputs
#4,566,009
of 23,189,371 outputs
Outputs from Frontiers in Genetics
#1,408
of 12,221 outputs
Outputs of similar age
#107,066
of 452,014 outputs
Outputs of similar age from Frontiers in Genetics
#44
of 351 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,221 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 88% 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 452,014 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 76% of its contemporaries.
We're also able to compare this research output to 351 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.