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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Functional traits explain variation in plant life history strategies
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, December 2013
|
| DOI | 10.1073/pnas.1315179111 |
| Pubmed ID | |
| Authors |
Peter B. Adler, Roberto Salguero-Gómez, Aldo Compagnoni, Joanna S. Hsu, Jayanti Ray-Mukherjee, Cyril Mbeau-Ache, Miguel Franco |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
| United States | 1 | 13% |
| Mexico | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,036 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 18 | 2% |
| Brazil | 7 | <1% |
| Germany | 4 | <1% |
| Switzerland | 3 | <1% |
| Canada | 3 | <1% |
| United Kingdom | 3 | <1% |
| Argentina | 2 | <1% |
| Spain | 2 | <1% |
| Mexico | 2 | <1% |
| Other | 15 | 1% |
| Unknown | 977 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 258 | 25% |
| Researcher | 180 | 17% |
| Student > Master | 146 | 14% |
| Student > Bachelor | 75 | 7% |
| Student > Doctoral Student | 67 | 6% |
| Other | 149 | 14% |
| Unknown | 161 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 499 | 48% |
| Environmental Science | 242 | 23% |
| Earth and Planetary Sciences | 27 | 3% |
| Biochemistry, Genetics and Molecular Biology | 21 | 2% |
| Engineering | 9 | <1% |
| Other | 37 | 4% |
| Unknown | 201 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 27 March 2024.
All research outputs
#1,685,383
of 26,017,215 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#22,021
of 104,451 outputs
Outputs of similar age
#18,400
of 323,297 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#298
of 965 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 104,451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.5. 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 323,297 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 94% of its contemporaries.
We're also able to compare this research output to 965 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.