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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Whole genome sequencing of Streptococcus pneumoniae: development, evaluation and verification of targets for serogroup and serotype prediction using an automated pipeline
|
|---|---|
| Published in |
PeerJ, September 2016
|
| DOI | 10.7717/peerj.2477 |
| Pubmed ID | |
| Authors |
Georgia Kapatai, Carmen L. Sheppard, Ali Al-Shahib, David J. Litt, Anthony P. Underwood, Timothy G. Harrison, Norman K. Fry |
X Demographics
The data shown below were collected from the profiles of 19 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 Kingdom | 11 | 58% |
| United States | 1 | 5% |
| Cyprus | 1 | 5% |
| Australia | 1 | 5% |
| Unknown | 5 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 58% |
| Members of the public | 6 | 32% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 130 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 21% |
| Student > Ph. D. Student | 27 | 20% |
| Student > Bachelor | 14 | 11% |
| Student > Master | 10 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Other | 14 | 11% |
| Unknown | 31 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 22 | 17% |
| Biochemistry, Genetics and Molecular Biology | 20 | 15% |
| Agricultural and Biological Sciences | 17 | 13% |
| Medicine and Dentistry | 15 | 11% |
| Computer Science | 5 | 4% |
| Other | 13 | 10% |
| Unknown | 40 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 24 August 2019.
All research outputs
#3,320,283
of 26,017,215 outputs
Outputs from PeerJ
#3,352
of 15,303 outputs
Outputs of similar age
#52,387
of 335,410 outputs
Outputs of similar age from PeerJ
#80
of 328 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.1. This one has done well, scoring higher than 78% 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 335,410 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 84% of its contemporaries.
We're also able to compare this research output to 328 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.