Plant Bioinformatics
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Scripting Analyses of Genomes in Ensembl Plants
|
|---|---|
| Book title |
Plant Bioinformatics
|
| Published in |
Methods in molecular biology, January 2022
|
| DOI | 10.1007/978-1-0716-2067-0_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-162066-3, 978-1-07-162067-0
|
| Authors |
Contreras-Moreira, Bruno, Naamati, Guy, Rosello, Marc, Allen, James E., Hunt, Sarah E., Muffato, Matthieu, Gall, Astrid, Flicek, Paul, Bruno Contreras-Moreira, Guy Naamati, Marc Rosello, James E. Allen, Sarah E. Hunt, Matthieu Muffato, Astrid Gall, Paul Flicek |
X Demographics
The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 7% |
| South Africa | 2 | 7% |
| Spain | 1 | 3% |
| Puerto Rico | 1 | 3% |
| Finland | 1 | 3% |
| United Kingdom | 1 | 3% |
| Germany | 1 | 3% |
| Sweden | 1 | 3% |
| Unknown | 19 | 66% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 52% |
| Members of the public | 13 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Unspecified | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Professor | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 9 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Environmental Science | 1 | 6% |
| Computer Science | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 10 | 56% |
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 20 January 2022.
All research outputs
#2,284,361
of 26,378,648 outputs
Outputs from Methods in molecular biology
#334
of 14,451 outputs
Outputs of similar age
#55,372
of 532,091 outputs
Outputs of similar age from Methods in molecular biology
#14
of 814 outputs
Altmetric has tracked 26,378,648 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 14,451 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 97% 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 532,091 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 89% of its contemporaries.
We're also able to compare this research output to 814 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 98% of its contemporaries.