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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ten Simple Rules for Graduate Students
|
|---|---|
| Published in |
PLoS Computational Biology, November 2007
|
| DOI | 10.1371/journal.pcbi.0030229 |
| Pubmed ID | |
| Authors |
Jenny Gu, Philip E Bourne |
X Demographics
The data shown below were collected from the profiles of 15 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 | 8 | 53% |
| Taiwan | 1 | 7% |
| Australia | 1 | 7% |
| Paraguay | 1 | 7% |
| United Kingdom | 1 | 7% |
| New Zealand | 1 | 7% |
| Mexico | 1 | 7% |
| Unknown | 1 | 7% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 6 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 365 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 22 | 6% |
| United Kingdom | 8 | 2% |
| Brazil | 7 | 2% |
| Germany | 6 | 2% |
| Canada | 4 | 1% |
| China | 4 | 1% |
| Japan | 2 | <1% |
| Philippines | 2 | <1% |
| France | 2 | <1% |
| Other | 18 | 5% |
| Unknown | 290 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 98 | 27% |
| Researcher | 69 | 19% |
| Student > Master | 53 | 15% |
| Professor > Associate Professor | 23 | 6% |
| Professor | 22 | 6% |
| Other | 61 | 17% |
| Unknown | 39 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 132 | 36% |
| Biochemistry, Genetics and Molecular Biology | 32 | 9% |
| Computer Science | 20 | 5% |
| Engineering | 20 | 5% |
| Medicine and Dentistry | 19 | 5% |
| Other | 94 | 26% |
| Unknown | 48 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 29 April 2023.
All research outputs
#798,209
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#587
of 8,960 outputs
Outputs of similar age
#1,967
of 166,616 outputs
Outputs of similar age from PLoS Computational Biology
#2
of 42 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th 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 particularly well, scoring higher than 93% 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 166,616 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 98% of its contemporaries.
We're also able to compare this research output to 42 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 95% of its contemporaries.