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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ten Simple Rules for Organizing a Scientific Meeting
|
|---|---|
| Published in |
PLoS Computational Biology, June 2008
|
| DOI | 10.1371/journal.pcbi.1000080 |
| Pubmed ID | |
| Authors |
Manuel Corpas, Nils Gehlenborg, Sarath Chandra Janga, Philip E. Bourne |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 8% |
| Colombia | 1 | 8% |
| Spain | 1 | 8% |
| Thailand | 1 | 8% |
| Tunisia | 1 | 8% |
| United States | 1 | 8% |
| South Africa | 1 | 8% |
| Argentina | 1 | 8% |
| Paraguay | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 322 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 5% |
| Germany | 7 | 2% |
| United Kingdom | 3 | <1% |
| Spain | 3 | <1% |
| France | 3 | <1% |
| Portugal | 2 | <1% |
| Switzerland | 2 | <1% |
| Korea, Republic of | 2 | <1% |
| Brazil | 2 | <1% |
| Other | 12 | 4% |
| Unknown | 271 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 67 | 21% |
| Researcher | 65 | 20% |
| Student > Master | 35 | 11% |
| Professor > Associate Professor | 26 | 8% |
| Professor | 24 | 7% |
| Other | 59 | 18% |
| Unknown | 46 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 111 | 34% |
| Medicine and Dentistry | 32 | 10% |
| Biochemistry, Genetics and Molecular Biology | 27 | 8% |
| Computer Science | 22 | 7% |
| Engineering | 14 | 4% |
| Other | 66 | 20% |
| Unknown | 50 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 02 November 2021.
All research outputs
#1,194,364
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#972
of 8,960 outputs
Outputs of similar age
#2,687
of 96,206 outputs
Outputs of similar age from PLoS Computational Biology
#3
of 39 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 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 well, scoring higher than 89% 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 96,206 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 97% of its contemporaries.
We're also able to compare this research output to 39 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 92% of its contemporaries.