| Title |
Correction to: Meta-barcoding in combination with palynological inference is a potent diagnostic marker for honey floral composition
|
|---|---|
| Published in |
AMB Express, October 2017
|
| DOI | 10.1186/s13568-017-0489-8 |
| Pubmed ID | |
| Authors |
Rama Chandra Laha, Surajit De Mandal, Lalhmanghai Ralte, Laldinfeli Ralte, Nachimuthu Senthil Kumar, Guruswami Gurusubramanian, Ramalingam Satishkumar, Raja Mugasimangalam, Nagesh Aswathnarayana Kuravadi |
| Abstract |
In the version of this article that was originally published (Laha et al. 2017) the authors did not properly reference one paragraph in the Introduction section. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 32% |
| Student > Ph. D. Student | 3 | 16% |
| Unspecified | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Other | 1 | 5% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 42% |
| Biochemistry, Genetics and Molecular Biology | 4 | 21% |
| Unspecified | 2 | 11% |
| Computer Science | 1 | 5% |
| Unknown | 4 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 October 2017.
All research outputs
#13,336,323
of 23,005,189 outputs
Outputs from AMB Express
#239
of 1,240 outputs
Outputs of similar age
#158,752
of 324,711 outputs
Outputs of similar age from AMB Express
#9
of 48 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,240 research outputs from this source. They receive a mean Attention Score of 2.8. 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 324,711 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.