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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating the productivity of ancient Pu’er tea trees (Camellia sinensis var. assamica): a multivariate modeling approach
|
|---|---|
| Published in |
Plant Methods, July 2022
|
| DOI | 10.1186/s13007-022-00928-5 |
| Pubmed ID | |
| Authors |
Shuqiao Zhang, Wendou Liu, Xinmeng Cheng, Zizhi Wang, Fengjun Yuan, Wengui Wu, Shengxi Liao |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sudan | 1 | 8% |
| Australia | 1 | 8% |
| India | 1 | 8% |
| Indonesia | 1 | 8% |
| United States | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Science communicators (journalists, bloggers, editors) | 2 | 17% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 20% |
| Unknown | 4 | 80% |
| Readers by discipline | Count | As % |
|---|---|---|
| Energy | 1 | 20% |
| Unknown | 4 | 80% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 26 November 2022.
All research outputs
#4,307,934
of 25,163,238 outputs
Outputs from Plant Methods
#252
of 1,237 outputs
Outputs of similar age
#83,037
of 425,044 outputs
Outputs of similar age from Plant Methods
#10
of 28 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,237 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 79% 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 425,044 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 28 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 67% of its contemporaries.