The data shown below were collected from the profiles of 120 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Ten simple rules for productive lab meetings
|
|---|---|
| Published in |
PLoS Computational Biology, May 2021
|
| DOI | 10.1371/journal.pcbi.1008953 |
| Pubmed ID | |
| Authors |
Nigel Golden, Kadambari Devarajan, Cathleen Balantic, Joseph Drake, Michael T. Hallworth, Toni Lyn Morelli |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 36 | 30% |
| United Kingdom | 4 | 3% |
| India | 1 | <1% |
| Serbia | 1 | <1% |
| Denmark | 1 | <1% |
| Canada | 1 | <1% |
| Germany | 1 | <1% |
| Israel | 1 | <1% |
| Unknown | 74 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 67 | 56% |
| Members of the public | 46 | 38% |
| Science communicators (journalists, bloggers, editors) | 4 | 3% |
| Practitioners (doctors, other healthcare professionals) | 3 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 131 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 21% |
| Student > Ph. D. Student | 13 | 10% |
| Student > Master | 12 | 9% |
| Student > Doctoral Student | 8 | 6% |
| Other | 7 | 5% |
| Other | 21 | 16% |
| Unknown | 42 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 19% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Environmental Science | 6 | 5% |
| Neuroscience | 6 | 5% |
| Engineering | 6 | 5% |
| Other | 32 | 24% |
| Unknown | 49 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 111. 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 31 August 2023.
All research outputs
#406,742
of 26,549,961 outputs
Outputs from PLoS Computational Biology
#267
of 9,200 outputs
Outputs of similar age
#11,158
of 465,980 outputs
Outputs of similar age from PLoS Computational Biology
#6
of 209 outputs
Altmetric has tracked 26,549,961 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 9,200 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. 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 465,980 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 209 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 97% of its contemporaries.