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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An improved protein extraction method applied to cotton leaves is compatible with 2-DE and LC-MS
|
|---|---|
| Published in |
BMC Genomics, April 2019
|
| DOI | 10.1186/s12864-019-5658-5 |
| Pubmed ID | |
| Authors |
Xiang Jin, Liping Zhu, Chengcheng Tao, Quanliang Xie, Xinyang Xu, Lili Chang, Yanhua Tan, Guohua Ding, Hongbin Li, Xuchu Wang |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| Germany | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 25% |
| Student > Bachelor | 3 | 13% |
| Student > Doctoral Student | 1 | 4% |
| Unspecified | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 21% |
| Agricultural and Biological Sciences | 3 | 13% |
| Nursing and Health Professions | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 12 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 September 2019.
All research outputs
#18,016,017
of 23,142,049 outputs
Outputs from BMC Genomics
#7,607
of 10,710 outputs
Outputs of similar age
#250,002
of 353,223 outputs
Outputs of similar age from BMC Genomics
#148
of 226 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,710 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 353,223 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.