Schistosoma mansoni
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Step-by-Step Bioinformatics Analysis of Schistosoma mansoni Long Non-coding RNA Sequences
|
|---|---|
| Chapter number | 10 |
| Book title |
Schistosoma mansoni
|
| Published in |
Methods in molecular biology, May 2020
|
| DOI | 10.1007/978-1-0716-0635-3_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-160634-6, 978-1-07-160635-3
|
| Authors |
Lucas F. Maciel, Sergio Verjovski-Almeida, Maciel, Lucas F., Verjovski-Almeida, Sergio |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 38% |
| Student > Bachelor | 3 | 19% |
| Unspecified | 1 | 6% |
| Researcher | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 13% |
| Chemistry | 2 | 13% |
| Unspecified | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Computer Science | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 May 2020.
All research outputs
#13,679,910
of 23,211,181 outputs
Outputs from Methods in molecular biology
#3,699
of 13,306 outputs
Outputs of similar age
#199,479
of 394,731 outputs
Outputs of similar age from Methods in molecular biology
#15
of 90 outputs
Altmetric has tracked 23,211,181 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,306 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 394,731 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.