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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ten Simple Rules for Getting Help from Online Scientific Communities
|
|---|---|
| Published in |
PLoS Computational Biology, September 2011
|
| DOI | 10.1371/journal.pcbi.1002202 |
| Pubmed ID | |
| Authors |
Giovanni M. Dall'Olio, Jacopo Marino, Michael Schubert, Kevin L. Keys, Melanie I. Stefan, Colin S. Gillespie, Pierre Poulain, Khader Shameer, Robert Sugar, Brandon M. Invergo, Lars J. Jensen, Jaume Bertranpetit, Hafid Laayouni |
X Demographics
The data shown below were collected from the profiles of 125 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 | 35 | 28% |
| United Kingdom | 10 | 8% |
| Canada | 7 | 6% |
| France | 5 | 4% |
| Switzerland | 3 | 2% |
| Japan | 3 | 2% |
| Australia | 3 | 2% |
| India | 2 | 2% |
| Colombia | 2 | 2% |
| Other | 16 | 13% |
| Unknown | 39 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 70 | 56% |
| Scientists | 43 | 34% |
| Science communicators (journalists, bloggers, editors) | 7 | 6% |
| Practitioners (doctors, other healthcare professionals) | 3 | 2% |
| Unknown | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 329 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 3% |
| United Kingdom | 6 | 2% |
| France | 6 | 2% |
| Spain | 5 | 2% |
| Brazil | 4 | 1% |
| Sweden | 3 | <1% |
| Germany | 2 | <1% |
| Italy | 2 | <1% |
| Russia | 2 | <1% |
| Other | 22 | 7% |
| Unknown | 266 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 90 | 27% |
| Student > Ph. D. Student | 75 | 23% |
| Student > Master | 29 | 9% |
| Other | 17 | 5% |
| Student > Postgraduate | 17 | 5% |
| Other | 62 | 19% |
| Unknown | 39 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 151 | 46% |
| Computer Science | 26 | 8% |
| Biochemistry, Genetics and Molecular Biology | 23 | 7% |
| Medicine and Dentistry | 12 | 4% |
| Chemistry | 10 | 3% |
| Other | 55 | 17% |
| Unknown | 52 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 114. 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 10 August 2023.
All research outputs
#375,636
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#256
of 9,043 outputs
Outputs of similar age
#1,324
of 144,419 outputs
Outputs of similar age from PLoS Computational Biology
#2
of 120 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 144,419 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 120 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.